Rozprawy doktorskie: „E- CLOUD”

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Šťastný, Jan. "Řízení projektů v cloudu". Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-193783.

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Goal of this thesis is to provide a summary of information connected to cloud project management. The thesis describes, what cloud is, what types of cloud there are and also describes project management methodologies and their specifics. In the practical part of this thesis one of the methodologies is applied to a practical project. The thesis contains also a summary of practical information about cloud projects and risks associated with cloud projects.

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Szczodrak, Malgorzata. "Variability of cloud optical depth and cloud droplet effective radius in layer clouds : satellite based analysis". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape15/PQDD_0019/NQ27255.pdf.

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Ovtchinnikov, Mikhail. "An investigation of ice production mechanisms using a 3-D cloud model with explicit microphysics /". Full-text version available from OU Domain via ProQuest Digital Dissertations, 1997.

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Ng, Alexander CB. "Decision Modelling and Optimization for Enterprise Migration to Clouds". Thesis, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/31719.

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Many enterprises are currently exploring the possibility of migrating some or all of their IT functionalities to public clouds with the objective of reducing their overall IT service costs or to open new business frontiers. Unfortunately, making such a decision is not a straightforward task; it requires a vigorous evaluation of the various benefits, risks and costs associated with the migration of their diverse business processes that comprise of their current IT services. Yet, this problem has received very little attention in the literature, mainly due to its interdisciplinary nature. This thesis aims at filling this gap by aiding the enterprises during the phase of making their cloud migration decision. The contributions of this work are twofold. First, a novel cloud-migration framework is introduced to guide the enterprises through a sequence of well-defined recommended analysis steps. These steps culminate with the formulation of the migration decision problem as a mathematical optimization one. The second contribution is a decision engine that efficiently solves this optimization problem. More precisely, the proposed framework gradually guides the enterprise to first identify the various business processes that are related to their IT services and then to determine the relationship and the communication needed among those processes. The identified inter-process communication represents an indicator of how tightly coupled these business processes are to each other. When outsourcing business processes, tightly coupled processes add a high communication cost and may introduce service latency if they are not co-located. As such, inter-process communication becomes an important input parameter that affects the migration decision. Enterprises can then determine to partially or completely migrate IT services to clouds. Furthermore, multiple vendors can be used for different services. However, when different vendors are involved, the communication cost between different processes increases. The objective is to maximize profit for an organization which includes lowering IT expenses in the long term without compromising data integrity or security. An optimization formula is finally constructed to help the enterprise determine which services to migrate given input parameters of the cost of doing business in-house, cost of outsourcing, and communication costs. Finally, a case study is utilized to demonstrate the performance of the proposed work by analyzing the process of migrating the services to clouds for an IPTV service provider. More specifically, the case study focuses on the content delivery network (CDN) within the IPTV provider’s infrastructure which is responsible for delivering contents to viewers. The CDN network can use the proposed profit-optimization formula to determine whether to utilize a cloud service or to use its internal resource to deliver the content. A performance evaluation from a simulation is presented to demonstrate the proposed profit-optimization formula can return a set of optimal mix of both internal and external services to maximize profits.

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Grahn, Cecilia, i Martin Sund. "Cloud computing - Moving to the cloud". Thesis, Högskolan Dalarna, Informatik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:du-12916.

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Cloud computing innebär användning av datorresurser som är tillgängliga via ett nätverk, oftast Internet och är ett område som har vuxit fram i snabb takt under de senaste åren. Allt fler företag migrerar hela eller delar av sin verksamhet till molnet. Sogeti i Borlänge har behov av att migrera sina utvecklingsmiljöer till en molntjänst då drift och underhåll av dessa är kostsamma och tidsödande. Som Microsoftpartners vill Sogeti använda Microsoft tjänst för cloud computing, Windows Azure, för detta syfte. Migration till molnet är ett nytt område för Sogeti och de har inga beskrivningar för hur en sådan process går till. Vårt uppdrag var att utveckla ett tillvägagångssätt för migration av en IT-lösning till molnet. En del av uppdraget blev då att kartlägga cloud computing, dess beståndsdelar samt vilka för- och nackdelar som finns, vilket har gjort att vi har fått grundläggande kunskap i ämnet. För att utveckla ett tillvägagångssätt för migration har vi utfört flera migrationer av virtuella maskiner till Windows Azure och utifrån dessa migrationer, litteraturstudier och intervjuer dragit slutsatser som mynnat ut i ett generellt tillvägagångssätt för migration till molnet. Resultatet har visat att det är svårt att göra en generell men samtidigt detaljerad beskrivning över ett tillvägagångssätt för migration, då scenariot ser olika ut beroende på vad som ska migreras och vilken typ av molntjänst som används. Vi har dock utifrån våra erfarenheter från våra migrationer, tillsammans med litteraturstudier, dokumentstudier och intervjuer lyft vår kunskap till en generell nivå. Från denna kunskap har vi sammanställt ett generellt tillvägagångssätt med större fokus på de förberedande aktiviteter som en organisation bör genomföra innan migration. Våra studier har även resulterat i en fördjupad beskrivning av cloud computing. I vår studie har vi inte sett att någon tidigare har beskrivit kritiska framgångsfaktorer i samband med cloud computing. I vårt empiriska arbete har vi dock identifierat tre kritiska framgångsfaktorer för cloud computing och i och med detta täckt upp en del av kunskapsgapet där emellan.
Cloud computing involves the use of computer resources that are available through a network, usually the Internet and it is an area that has grown rapidly in recent years. More and more companies move entire or part of their operations to the cloud.Sogeti in Borlänge needs to move their development environments to a cloud service as operating and maintaining of these are costly and time-consuming. As a Microsoft Partner, Sogeti wants to use Microsoft´s services for cloud computing, Windows Azure, for this purpose. Migration to the cloud is a new area for Sogeti and they do not have any descriptions of how this process works.Our mission was to develop an approach for the migration of an IT-solution to the cloud. Part of the mission included the identifying of cloud computing, its components, benefits and drawbacks, which lead to us acquiring basic knowledge of the subject.To develop an approach to migration, we performed several migrations of virtual machines to Windows Azure, and based on these migrations, literature studies and interviews we drew conclusions that resulted in an overall approach for migration to the cloud.The results have shown that it is difficult to make a general but detailed description of an approach to migration, as the scenario looks different depending on what to migrate and what type of cloud service is used. However, based on our experiences from our migrations, along with literature, documents and interviews we have lifted our knowledge to a general level. From this knowledge, we have compiled a general approach with greater focus on the preparatory activities that an organization should implement before migration.Our studies also resulted in an in-depth description of cloud computing. In our studies we did not find previous works in which the critical success factors have been described in the context of cloud computing. In our empirical work, we identified three critical success factors for cloud computing and in doing so covered up some of the knowledge gap in between.

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McLeod, Andrew. "Instabilities in supersonic cloud-cloud collisions". Thesis, Cardiff University, 2012. http://orca.cf.ac.uk/38842/.

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We study the effects of the supersonic collision of molecular clouds using smoothed particle hydrodynamics (SPH) simulations. We review the observational evidence for cloud-cloud collision and previous computational work. We describe the SPH method, the algorithms used in the SPH code SEREN, and how we have extended the parallelization of SEREN. We review the non-linear thin shell instability (NTSI) and gravitational instability in a shock-compressed layer. We present the results of two sets of SPH simulations. In the first set of simulations we collide supersonic flows of gas without self-gravity. We impose a range of velocity perturbations, including monochromatic perturbations, white noise perturbations and both subsonic and supersonic turbulence. The colliding flows create a dense shock-compressed layer which is unstable to the NTSI. We examine the effect of the differing initial perturbations on the NTSI, and calculate rates of growth of both bending modes and breathing modes as a function of time and wavenumber. We compare our results to the time-independent result predicted by Vishniac (1994) for a one-dimensional monochromatic perturbation, and examine how this result can be extended to two-dimensional perturbations and non-monochromatic perturbations. In our second set of simulations we model the head-on supersonic collision of two identical uniform-density spheres. We include self-gravity, allowing the dense layer to become gravitationally unstable and produce stars. We explore the effect of increasing collision velocity, and show that the NTSI is present only at higher collision velocities. At the highest collision velocities the NTSI severely disrupts the layer, and the collision does not produce stars. Although the global properties of the collision, such as the thickness of the layer, the size of the star-forming region and the time of first star formation, depend on the collision velocity, most individual properties of the stars do not.

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Cappelli, Gino. "Data cloud through google cloud storage". Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2012. http://amslaurea.unibo.it/3032/.

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Il Cloud Storage è un modello di conservazione dati su computer in rete, dove i dati stessi sono memorizzati su molteplici server, reali e/o virtuali, generalmente ospitati presso strutture di terze parti o su server dedicati. Tramite questo modello è possibile accedere alle informazioni personali o aziendali, siano essi video, fotografie, musica, database o file in maniera “smaterializzata”, senza conoscere l’ubicazione fisica dei dati, da qualsiasi parte del mondo, con un qualsiasi dispositivo adeguato. I vantaggi di questa metodologia sono molteplici: infinita capacita’ di spazio di memoria, pagamento solo dell’effettiva quantità di memoria utilizzata, file accessibili da qualunque parte del mondo, manutenzione estremamente ridotta e maggiore sicurezza in quanto i file sono protetti da furto, fuoco o danni che potrebbero avvenire su computer locali. Google Cloud Storage cade in questa categoria: è un servizio per sviluppatori fornito da Google che permette di salvare e manipolare dati direttamente sull’infrastruttura di Google. In maggior dettaglio, Google Cloud Storage fornisce un’interfaccia di programmazione che fa uso di semplici richieste HTTP per eseguire operazioni sulla propria infrastruttura. Esempi di operazioni ammissibili sono: upload di un file, download di un file, eliminazione di un file, ottenere la lista dei file oppure la dimensione di un dato file. Ogniuna di queste richieste HTTP incapsula l’informazione sul metodo utilizzato (il tipo di richista, come GET, PUT, ...) e un’informazione di “portata” (la risorsa su cui effettuare la richiesta). Ne segue che diventa possibile la creazione di un’applicazione che, facendo uso di queste richieste HTTP, fornisce un servizio di Cloud Storage (in cui le applicazioni salvano dati in remoto generalmene attraverso dei server di terze parti). In questa tesi, dopo aver analizzato tutti i dettagli del servizio Google Cloud Storage, è stata implementata un’applicazione, chiamata iHD, che fa uso di quest’ultimo servizio per salvare, manipolare e condividere dati in remoto (nel “cloud”). Operazioni comuni di questa applicazione permettono di condividere cartelle tra più utenti iscritti al servizio, eseguire operazioni di upload e download di file, eliminare cartelle o file ed infine creare cartelle. L’esigenza di un’appliazione di questo tipo è nata da un forte incremento, sul merato della telefonia mobile, di dispositivi con tecnologie e con funzioni sempre più legate ad Internet ed alla connettività che esso offre. La tesi presenta anche una descrizione delle fasi di progettazione e implementazione riguardanti l’applicazione iHD. Nella fase di progettazione si sono analizzati tutti i requisiti funzionali e non funzionali dell’applicazione ed infine tutti i moduli da cui è composta quest’ultima. Infine, per quanto riguarda la fase di implementazione, la tesi presenta tutte le classi ed i rispettivi metodi presenti per ogni modulo, ed in alcuni casi anche come queste classi sono state effettivamente implementate nel linguaggio di programmazione utilizzato.

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Brooks, Christopher David. "Underwater Clouds Utilizing Private Cloud Architecture Aboard U.S. Submarines". Thesis, Monterey, California. Naval Postgraduate School, 2012. http://hdl.handle.net/10945/7312.

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The Consolidated Afloat Network and Enterprise Systems (CANES) program was tasked with replacing computer networks afloat, to both improve productivity and functionality of the fleets Information Technology infrastructure. The program, in its first iteration, fails to include half the ships currently in service and is limited to a small number of specific platforms. Upgrading the existing software on the current platforms may pose a useful resolution to this issue. The computer networks on board submarines provide a good opportunity to explore how cloud computing could benefit older platforms. This thesis presents a proof of concept for the use of a Private Cloud architecture on board U.S. submarines and how improving computer networks may be possible by leveraging the currently installed hardware without requiring a complete system reconfiguration. We use the Ubuntu Server Private Cloud as a basic example to illustrate and explore potential benefits and limitations of the Platform as a Service (PAAS) model. The revised system is examined in terms of its application aboard a submarine and explores how it compares to previous network architectures, such as the Client/Server model. The Ubuntu model was chosen for its usability and robust features and because it is open source and free.

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Sotiriadis, Stelios. "The inter-cloud meta-scheduling". Thesis, University of Derby, 2013. http://hdl.handle.net/10545/299501.

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Inter-cloud is a recently emerging approach that expands cloud elasticity. By facilitating an adaptable setting, it purposes at the realization of a scalable resource provisioning that enables a diversity of cloud user requirements to be handled efficiently. This study’s contribution is in the inter-cloud performance optimization of job executions using metascheduling concepts. This includes the development of the inter-cloud meta-scheduling (ICMS) framework, the ICMS optimal schemes and the SimIC toolkit. The ICMS model is an architectural strategy for managing and scheduling user services in virtualized dynamically inter-linked clouds. This is achieved by the development of a model that includes a set of algorithms, namely the Service-Request, Service-Distribution, Service-Availability and Service-Allocation algorithms. These along with resource management optimal schemes offer the novel functionalities of the ICMS where the message exchanging implements the job distributions method, the VM deployment offers the VM management features and the local resource management system details the management of the local cloud schedulers. The generated system offers great flexibility by facilitating a lightweight resource management methodology while at the same time handling the heterogeneity of different clouds through advanced service level agreement coordination. Experimental results are productive as the proposed ICMS model achieves enhancement of the performance of service distribution for a variety of criteria such as service execution times, makespan, turnaround times, utilization levels and energy consumption rates for various inter-cloud entities, e.g. users, hosts and VMs. For example, ICMS optimizes the performance of a non-meta-brokering inter-cloud by 3%, while ICMS with full optimal schemes achieves 9% optimization for the same configurations. The whole experimental platform is implemented into the inter-cloud Simulation toolkit (SimIC) developed by the author, which is a discrete event simulation framework.

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Karlsson, Karl-Göran. "The use of a satellite-derived cloud climatology for studying cloud-aerosol processes and the performance of regional cloud climate simulations". Doctoral thesis, Stockholm University, Department of Meteorology, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-1364.

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The entry of satellite-derived decadal cloud datasets with homogeneous coverage in time and space enables studies not possible before. This thesis presents two such applications. The first study deals with cloud-aerosol processes and the second with an evaluation of cloud simulations from a regional climate model.

The first part of the thesis describes the used satellite-derived dataset based on imagery from the Advanced Very High Resolution Radiometer (AVHRR) on the polar orbiting NOAA satellites. A method for cloud retrieval and the compilation of a 1991-2000 Scandinavian cloud climatology are described.

The second part reveals an intriguing anti-correlation between monthly mean satellite-derived cloudiness and the concentration of the cosmogenetic isotope Beryllium-7 in near-surface aerosol samples for three measurement sites in Sweden. Large-scale transport processes are suggested as the most likely physical mechanism for this behaviour but more complex relations to cloud microphysical processes are not ruled out.

The final part presents a thorough evaluation of cloud simulations of the SMHI Rossby Centre regional atmospheric model (RCA3). Several model-to-satellite adaptations are applied to avoid artificial biases of results. The study stresses the necessity to account for initial differences between observed and modelled clouds caused by satellite cloud detection limitations. Results show good agreement of modelled and observed cloud amounts while the vertical distribution of clouds appears largely different. RCA3 underestimates medium-level clouds while overestimating low- and high-level clouds. Also, the current use of the Maximum cloud overlap approach in the radiation scheme and an indicated excess of cloud condensate in modelled clouds appear to create excessive cloud optical thicknesses with serious implications for the surface radiation budget.

Future applications are outlined based on greatly enhanced satellite-derived cloud and radiation budget datasets.

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Quadri, S. (Samsideen). "Cloud computing:migrating to the cloud, Amazon Web Services and Google Cloud Platform". Master's thesis, University of Oulu, 2017. http://urn.fi/URN:NBN:fi:oulu-201703151365.

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Cloud computing provides great benefits and challenges for small, medium, and large organisations. Whether it is a financial, technology, or engineering sector any company may find a useful cloud component for the organisation’s needs. Though with its benefits come many challenges, experts believe that cloud computing advantages outweigh the disadvantages. With more research in the area of cloud computing, the challenges will be dealt with. Amazon and Google are the prominent cloud services providers with different components and services that are evolving. However, there are many other cloud vendors and this makes it difficult for potential cloud users to migrate or choose a suitable vendor from the numerous available ones. This thesis, using design science approach describes the implementation of cloud computing by different cloud providers, i.e., examines and demonstrates how Amazon and Google implemented and structured their cloud infrastructure. Also, it provides the criteria for accessing the suitability of a business or organisation for choosing a cloud provider. In addition, a web application hosted on both AWS and GCP platforms is developed in order to demonstrate the workability of the framework and guideline for selecting a cloud provider. The application is called KlaudCelet. KlaudCelet is a recommender system that is developed based on previous research on cloud deployment frameworks and proposed model (CPSM; Cloud Provider Selection Model). The recommendation by the system is reliable because it is based on research results. KlaudCelet recommends a deployment model, a cloud service provider, and a decision either to migrate or not. CPSM was not used in KlaudCelet but the model by Keung & Kwok and Misra & Mondal were used. The guideline developed was used to create a recommender framework. The need for solving this problem was shown by conducting a review of previous research and a small-scale survey among IT experts. The survey found that IT experts are optimistic about cloud computing adoption despite its challenges such as security, privacy and leaning curve. The decision to migrate to the cloud must take into consideration the organisation’s state and culture, cloud deployment model, and choosing a suitable cloud service provider.

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Al, Abdulwahid Abdulwahid Abdullah. "Federated authentication using the Cloud (Cloud Aura)". Thesis, University of Plymouth, 2017. http://hdl.handle.net/10026.1/9596.

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Individuals, businesses and governments undertake an ever-growing range of activities online and via various Internet-enabled digital devices. Unfortunately, these activities, services, information and devices are the targets of cybercrimes. Verifying the user legitimacy to use/access a digital device or service has become of the utmost importance. Authentication is the frontline countermeasure of ensuring only the authorised user is granted access; however, it has historically suffered from a range of issues related to the security and usability of the approaches. Traditionally deployed in a point-of-entry mode (although a number of implementations also provide for re-authentication), the intrusive nature of the control is a significant inhibitor. Thus, it is apparent that a more innovative, convenient and secure user authentication solution is vital. This thesis reviews the authentication methods along with the current use of authentication technologies, aiming at developing a current state-of-the-art and identifying the open problems to be tackled and available solutions to be adopted. It also investigates whether these authentication technologies have the capability to fill the gap between the need for high security whilst maximising user satisfaction. This is followed by a comprehensive literature survey and critical analysis of the existing research domain on continuous and transparent multibiometric authentication. It is evident that most of the undertaken studies and proposed solutions thus far endure one or more shortcomings; for instance, an inability to balance the trade-off between security and usability, confinement to specific devices, lack or negligence of evaluating users’ acceptance and privacy measures, and insufficiency or absence of real tested datasets. It concludes that providing users with adequate protection and convenience requires innovative robust authentication mechanisms to be utilised in a universal manner. Accordingly, it is paramount to have a high level of performance, scalability, and interoperability amongst existing and future systems, services and devices. A survey of 302 digital device users was undertaken and reveals that despite the widespread interest in more security, there is a quite low number of respondents using or maintaining the available security measures. However, it is apparent that users do not avoid applying the concept of authentication security but avoid the inconvenience of its current common techniques (biometrics are having growing practical interest). The respondents’ perceptions towards Trusted Third-Party (TTP) enable utilising biometrics for a novel authentication solution managed by a TTP working on multiple devices to access multiple services. However, it must be developed and implemented considerately. A series of experimental feasibility analysis studies disclose that even though prior Transparent Authentication Systems (TAS) models performed relatively well in practice on real live user data, an enhanced model utilising multibiometric fusion outweighs them in terms of the security and transparency of the system within a device. It is also empirically established that a centralised federated authentication approach using the Cloud would help towards constructing a better user profile encompassing multibiometrics and soft biometric information from their multiple devices and thus improving the security and convenience of the technique beyond those of unimodal, the Non-Intrusive and Continuous Authentication (NICA), and the Weighted Majority Voting Fusion (WMVF) and what a single device can do by itself. Furthermore, it reduces the intrusive authentication requests by 62%-74% (of the total assumed intrusive requests without operating this model) in the worst cases. As such, the thesis proposes a novel authentication architecture, which is capable of operating in a transparent, continuous and convenient manner whilst functioning across a range of digital devices – bearing in mind it is desirable to work on differing hardware configurations, operating systems, processing capabilities and network connectivity but they are yet to be validated. The approach, entitled Cloud Aura, can achieve high levels of transparency thereby being less dependent on secret-knowledge or any other intrusive login and leveraging the available devices capabilities without requiring any external sensors. Cloud Aura incorporates a variety of biometrics from different types, i.e. physiological, behavioural, and soft biometrics and deploys an on-going identity confidence level based upon them, which is subsequently reflected on the user privileges and mapped to the risk level associated to them, resulting in relevant reaction(s). While in use, it functions with minimal processing overhead thereby reducing the time required for the authentication decision. Ultimately, a functional proof of concept prototype is developed showing that Cloud Aura is feasible and would have the provisions of effective security and user convenience.

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Mullins, Taariq. "Participatory Cloud Computing: The Community Cloud Management Protocol". Thesis, University of Cape Town, 2014. http://pubs.cs.uct.ac.za/archive/00000999/.

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This thesis work takes an investigative approach into developing a middleware solution for managing services in a community cloud computing infrastructure predominantly made of interconnected low power wireless devices. The thesis extends itself slightly outside of this acute framing to ensure heterogeneity is accounted for. The developed framework, in its draft implementation, provides networks with value added functionality in a way which minimally impacts nodes on the network. Two sub-protocols are developed and successfully implemented in order to achieve efficient discovery and allocation of the community cloud resources. First results are promising as the systems developed show both low resource consumption in its application, but also the ability to effectively transfer services through the network while evenly distributing load amongst computing resources on the network.

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Sprangers, William. "Cloud BI : Utmaningar vid implementation av Cloud BI". Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-19940.

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Business Intelligence (BI) möjliggör för bättre och effektivare beslutsfattande genom att förse beslutsfattare med rätt data vid rätt tid. Ny teknik kommer ständigt inom BI området och att tillämpa Cloud Computing (CC) tillsammans med BI ger många fördelar och ett flertal nya utvecklingsområden. Kombinationen av BI och CC skapar Cloud BI och denna teknologi har fortfarande en relativt låg mognadsnivå men den är under konstant utveckling och i denna rapport diskuteras vilka tekniska och organisatoriska utmaningar som kan tillkomma vid införandet av Cloud BI i en organisation. Det har genomförts intervjuer för att samla in kvalitativ data som kan beskriva detta fenomen och ge en djupare insikt i hur dessa utmaningar påverkar organisationer som vill implementera Cloud BI. Genom att utföra semistrukturerade intervjuer med rum för diskussion så har frågeställningen besvarats. Totalt deltog fem respondenter som arbetar med BI och har kunskap om Cloud BI. Resultatet visar att de tekniska utmaningarna som organisationer stöter på när dom implementerar Cloud BI är (1) tillgång, (2) säkerhet och (3) arkitektur och transport av data. Organisatoriska utmaningar som kan uppkomma är (4) resistans, (5) lagar och regler samt (6) arbetssätt och metod.

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Valton, Anne-Marie. "Cloud dynamics-pollutant interactions in a rainband". Thesis, McGill University, 1986. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=65932.

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Lathan, Cary Alice. "Cloud base". Thesis, University of Hawaii at Manoa, 2005. http://hdl.handle.net/10125/6917.

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This is a two-part explanation of the M.F.A. thesis exhibition entitled "Cloud Base" by Cary Lathan. The first part reads as stream of consciousness, a poetic journey that the viewer may experience. The second is an explanation of the poetic journey. The idea from which "Cloud Base" was derived came from two things: the experience of paragliding just below the bases of the clouds and my own personal investigation to understand the core of who I am. "Cloud Base" is comprised of sculptural forms, hand built and made of porcelain. Porcelain in this work represents a symbol of purity, and references the ceramic traditions of the East and West. The story of porcelain is historically rich, and its development through time, space, and society continues. Its use has not come to a final conclusion.
iv, 21 leaves

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Axelsson, Markus, i Oskar Lundgren. "Raytelligent Cloud". Thesis, Högskolan i Halmstad, Akademin för ekonomi, teknik och naturvetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-33567.

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I dagens samhälle blir fler och fler enheter uppkopplade mot Internet vilket kan ge en annars begränsad hårdvara möjlighet att genomföra större beräkningar. Detta projekt avser att skapa ett system som hanterar en användares radarenheter i ett molnbaserat system. Systemet erbjuder även möjligheten att ladda upp användarens egna applikationer vilka använder data från radarenheten, körs på virtuella maskiner och vid behov har möjlighet att skicka notiser till användarens mobila applikationer. För att underlätta utveckling har systemet delats upp i tre delsystem. Dessa är radarenhet, molntjänst och mobilapplikation. Projektet resulterade i ett komplett system med en webbapplikation som erbjuder användaren möjlighet att registrera sina radarenheter, ladda upp källkod som kompileras och körs på en molntjänst samt möjlighet att skicka notiser till en mobilapplikation.
Todays age sees more and more devices connected to the internet providing otherwise quite limited hardware with the ability to perform more complex calculations. This project aims to create a system for managing a users radar devices using a cloud platform. The system also provides the ability for the user to upload their own custom applications which can make use of data provided by the radar device, run on virtual machines and if required have the ability to push notifications to the users mobile applications. To simplify the system development, it has been divided into three separate subsystems, specifically the radar device, the cloud service and the mobile application. The result of the project is a complete system with a web application which provides the user with the ability to register their radar device(s), upload source code which is compiled and run on the cloud platform and the ability to send push notices to a mobile application.

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Wah, Jason. "Cloud atlas". This title: PDF viewer required Home page for entire collection, 2007. http://archives.udmercy.edu:8080/dspace/handle/10429/9.

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Glushchenko, Volodymyr. "Cloud technology". Thesis, Дніпровський національний університет залізничного транспорту імені академіка В. Лазаряна, 2019. https://er.knutd.edu.ua/handle/123456789/14705.

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The work deals with cloud technology. Cloud computing makes it easy to share and access digital resources from any part of the globe. This leads to better collaboration between global teams.
Робота присвячена технологіям хмарної обробки даних. «Хмарні» обчислення полегшують обмін і доступ до цифрових ресурсів з будь-якої частини земної кулі. Це веде до кращого співпраці між глобальними командами.
Работа посвящена технологиям облачной обработки данных. «Облачные» вычисления облегчают обмен и доступ к цифровым ресурсам из любой части земного шара. Это ведет к лучшему сотрудничеству между глобальными командами.

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Lebedeva, A. O. "Cloud computing". Thesis, Сумський державний університет, 2013. http://essuir.sumdu.edu.ua/handle/123456789/33692.

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Cloud Computing is a revolution that will define IT in the second decade of the 21st Century. It have become the basis for radical business innovation and new business models, and for significant improvements in the effectiveness of anyone using information technology. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/33692

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Begic, Dina. "Cloud Computing". Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amslaurea.unibo.it/5697/.

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Brahim, Kamel. "Cloud Computing:Accountability". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2012. http://amslaurea.unibo.it/3164/.

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Matteazzi, Piergiorgio <1969&gt. "Cloud computing". Master's Degree Thesis, Università Ca' Foscari Venezia, 2015. http://hdl.handle.net/10579/6952.

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L’obiettivo della tesi è valutare il Cloud Computing dal punto di vista dei vantaggi/svantaggi che le aziende possono trarne, e quali motivi rallentano la diffusione di tale tecnologia. Il cloud computing è da anni un argomento di discussione e analisi nel mondo accademico e dell’Information Technology. Sono state date definizioni che con l’evoluzione tecnologica degli strumenti a disposizione dei Provider si sono ampliate e consolidate. La sua natura di servizio non chiaramente localizzato ha generato diverse problematiche, non solo a livello tecnologico ma anche a livello legale (dei problemi legali non ci siamo occupati specificamente, ma li citiamo in quanto causa di frizioni nell’adozione di tale tecnologia). Per esempio all’interno della comunità economica, al fine di stimolare l’adozione del cloud computing, si sta promuovendo un processo per uniformare la normativa sulla proprietà dei dati. Alcune grosse aziende come CISCO, per ovviare alla inadeguatezza della normativa, inseriscono nel contratto di cloud clausule dove si assumono i rischi derivanti dalle diverse normative presenti ove i dati vengono collocati. Partendo dalla definizione, analizzando l’implementazione nonchè l’evoluzione degli strumenti a disposizione di chi programma in questo ambito, ci si rende conto quanto questo paradigma sia in evoluzione, e quanto ancora possa crescere. Si sta facendo un grande lavoro sia sulla virtualizzazione delle reti, sia sulle tecnologie di storage, che in futuro permetteranno con la diffusione della banda larga, di superare determinati limiti ad oggi presenti in determinati ambiti del Cloud, favorendone la diffusione e l’utilizzo. Dallo sviluppo e analisi svolta, si evidenzia come il paradigma cloud sia altamente modulabile rispetto alle esigenze aziendali proprio per le numerose opzioni e soluzioni tecnologiche, software e gestionali. Di seguito si riassumono gli elementi di vantaggio/svantaggio rilevabili nel paradigma cloud.

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Wang, Zhen, Ramirez Marco Mora, Hossein Dadashazar, Alex B. MacDonald, Ewan Crosbie, Kelvin H. Bates, Matthew M. Coggon i in. "Contrasting cloud composition between coupled and decoupled marine boundary layer clouds". AMER GEOPHYSICAL UNION, 2016. http://hdl.handle.net/10150/622150.

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Marine stratocumulus clouds often become decoupled from the vertical layer immediately above the ocean surface. This study contrasts cloud chemical composition between coupled and decoupled marine stratocumulus clouds for dissolved nonwater substances. Cloud water and droplet residual particle composition were measured in clouds off the California coast during three airborne experiments in July-August of separate years (Eastern Pacific Emitted Aerosol Cloud Experiment 2011, Nucleation in California Experiment 2013, and Biological and Oceanic Atmospheric Study 2015). Decoupled clouds exhibited significantly lower air-equivalent mass concentrations in both cloud water and droplet residual particles, consistent with reduced cloud droplet number concentration and subcloud aerosol (D-p>100nm) number concentration, owing to detachment from surface sources. Nonrefractory submicrometer aerosol measurements show that coupled clouds exhibit higher sulfate mass fractions in droplet residual particles, owing to more abundant precursor emissions from the ocean and ships. Consequently, decoupled clouds exhibited higher mass fractions of organics, nitrate, and ammonium in droplet residual particles, owing to effects of long-range transport from more distant sources. Sodium and chloride dominated in terms of air-equivalent concentration in cloud water for coupled clouds, and their mass fractions and concentrations exceeded those in decoupled clouds. Conversely, with the exception of sea-salt constituents (e.g., Cl, Na, Mg, and K), cloud water mass fractions of all species examined were higher in decoupled clouds relative to coupled clouds. Satellite and Navy Aerosol Analysis and Prediction System-based reanalysis data are compared with each other, and the airborne data to conclude that limitations in resolving boundary layer processes in a global model prevent it from accurately quantifying observed differences between coupled and decoupled cloud composition.

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Barahona, Donifan. "On the representation of aerosol-cloud interactions in atmospheric models". Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/41169.

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Anthropogenic atmospheric aerosols (suspended particulate matter) can modify the radiative balance (and climate) of the Earth by altering the properties and global distribution of clouds. Current climate models however cannot adequately account for many important aspects of these aerosol-cloud interactions, ultimately leading to a large uncertainty in the estimation of the magnitude of the effect of aerosols on climate. This thesis focuses on the development of physically-based descriptions of aerosol-cloud processes in climate models that help to address some of such predictive uncertainty. It includes the formulation of a new analytical parameterization for the formation of ice clouds, and the inclusion of the effects of mixing and kinetic limitations in existing liquid cloud parameterizations. The parameterizations are analytical solutions to the cloud ice and water particle nucleation problem, developed within a framework that considers the mass and energy balances associated with the freezing and droplet activation of aerosol particles. The new frameworks explicitly account for the impact of cloud formation dynamics, the aerosol size and composition, and the dominant freezing mechanism (homogeneous vs. heterogeneous) on the ice crystal and droplet concentration and size distribution. Application of the new parameterizations is demonstrated in the NASA Global Modeling Initiative atmospheric and chemical and transport model to study the effect of aerosol emissions on the global distribution of ice crystal concentration, and, the effect of entrainment during cloud droplet activation on the global cloud radiative properties. The ice cloud formation framework is also used within a parcel ensemble model to understand the microphysical structure of cirrus clouds at very low temperature. The frameworks developed in this work provide an efficient, yet rigorous, representation of cloud formation processes from precursor aerosol. They are suitable for the study of the effect of anthropogenic aerosol emissions on cloud formation, and can contribute to the improvement of the predictive ability of atmospheric models and to the understanding of the impact of human activities on climate.

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Pyykkö, Joakim. "Improving Short-Range Cloud Forecasts in Harmonie-Arome Through Cloud Initialization Using Mesan Cloud Data". Thesis, Uppsala universitet, Luft-, vatten och landskapslära, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-380151.

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Previous studies, such as van der Veen (2012) and White et al. (2017), have demonstrated the potential of using measurement-based cloud data to improve Numerical Weather Prediction (NWP) based cloud forecasts. This can be done through cloud initialization; a process of injecting cloud data after the regular data assimilation in an NWP model. The purpose of this study was to use cloud data from the Mesoscale Analysis system MESAN to investigate cloud initialization in the HARMONIE-AROME model system for improving short-range cloud forecasts. The cloud initialization method that was used was similar to a method used by van der Veen (2012), where specific humidities, temperatures, and hydrometeor concentrations were altered using information on cloud fractions, cloud base heights and cloud top heights. MESAN input data analyses as well as cloud initialization investigations were carried out. MESAN input data analyses revealed significant differences in cloud fractions between MESAN and the background model field in MESAN. Overestimations of cloud fractions in MESAN over sea were caused by satellite data, particularly due to the inclusion of the fractional cloud category. Underestimations of cloud fractions over land were caused by limitations of the synoptic weather (SYNOP) stations in measuring clouds. Furthermore, larger differences between MESAN and SYNOP were found over Sweden and Finland compared to Norway, which may be tied to Norway having mostly manual SYNOP stations, and Sweden and Finland having mostly automatic stations. Shortcomings were found in the investigated cloud initialization method. Such shortcomings involved a limit check on the specific humidity change, the cloud initialization being repeated for an unnecessarily large amount of iterations, and the use of a sub-optimal profile of critical relative humidity. Using a one-dimensional vertical column version of HARMONIE-AROME, named MUSC, to integrate forward in time revealed a large sensitivity to the use of forcing profiles and forcing time scales in MUSC. Alterations made through cloud initialization were found to last over 12 h, with varying effects depending on the investigated height. A reasonably good agreement between MUSC results and results from the three-dimensional version of HARMONIE-AROME was found. Findings in this thesis point at potential to further enhance the HARMONIE-AROME cloud initialization technique. These enhancements concern a revised MESAN cloud product and taking care of some flaws in the cloud initialization method.
I en operationell vädermodell inkluderas olika mätdata, såsom temperatur och atmosfärstryck, i ett regelbundet intervall. Molnighet är inte vanligtvis en del av dessa cykler; istället bildas molnen av modellen utifrån balanser i de andra fysikaliska fälten. Detta projekt gick ut på att direkt införa molnmätningar från väderanalyssystemet MESAN i vädermodellsystemet HARMONIE-AROME genom en metod som kallas molninitialisering. Speciﬁkt förbättringar för korttidsprognoser var av i ntresse. MESAN är ett system vars produkter är en sammanslagning av ett bakgrundsfält från en vädermodellkörning med olika mätdata. I MESAN kommer molndata från tre källor: bakgrundsfältet, satellitdata och synoptisk väderstationsdata (SYNOP-data). Undersökningar av indata till MESAN samt molninitialiseringsmetoden har utförts. Analyser av indata till MESAN visade på överskattningar av moln i satellitdata över hav och underskattningar av moln i SYNOP-data över land. För satellitdatat berodde detta på medtagande av moln på liten skala eller väldigt tunna moln, medan det för SYNOP berodde på begränsningar i mätmetoderna. Det fanns även en skillnad i kvalitet i SYNOP-data i Sverige och Finland gentemot Norge, vilket kan bero på att de ﬂesta mätstationer i Norge är manuella medan de ﬂesta i Sverige och Finland är automatiska. Molninitialiseringsmetoden bestod i att extrahera data om molnbashöjd och molntopphöjd från MESAN, och sedan modiﬁera fuktighet, temperatur och hydrometeorer (såsom molndroppar och iskristaller) i HARMONIE-AROME utifrån molnens position. Brister i metoden hittades. Initialiseringsprocessen upprepades ett suboptimalt antal gånger. En begränsning i hur mycket fuktigheten tillåts modiﬁeras förändras under initialiseringsprocessen och fungerade inte som avsett. Dessutom, jämförese med radiosonddata pekar på att relativa fuktighetsgränserna för villket moln bildas inledningsvis inte ansattes korrekt. Effekterna av metoden kunde vara i över 12 timmar, men denna studie pekar på ytterligare troliga förbättringsmöjligheter i HARMONIE-AROME genom införande av reviderad version av metoden samt förbättrade satellitprodukter.

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Branderud, Anders. "Setting up of an OpenNebula-cloud for cloud computing". Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-37242.

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School of Information and Communication Technology (ICT) at Royal Institute of Technology (KTH) have 16 computers that they are not using, which they bought from PDC at KTH a couple of years ago. Teachers of KTH are interested in using these computers to let their students work on a cloud computer environment. There is an open source system called OpenNebula, which is used on many universities and by many other persons setting up a cloud computer environment. OpenNebula is an distributed virtual machine manager that allows virtualization of ITinfrastructure, provides good environment for user management and setting up storage sub systems and has other desirable characterics suitable for laborations in classes. One of the goals of this project was to install OpenNebula on 16 computers, with one of the computers being the front end. I call this cluster of nodes Cloudelia. These are the requirements of the system: In order for a user to use the system, authentication needs to be done to ensure that it has a KTHaccount. When an administrator sees a get permission-request from an user and is deciding on whether to approve the user or not, it must be able to rely on that an authentication-mechanism ensures that the user really is the user with the specific KTH-user name shown in the interface. This ensures that any user outside of KTH with an intent to use Cloudelia in a malicious way doesn’t get access to the system. The teachers should be provided an interface in which they can handle the granting/denying of permission of the users whom have requested permission to use Cloudelia. They should be able to do this for all of the users in an efficient way and upon granting access to the users, new user accounts should be created in OpenNebula. This reduces the work load for the teachers. There were certain design choices that were made, including the choice of whether to run OpenNebula with a shared or non-shared file system, whether to use Kerberos or Central Authentication Service (CAS) for authentication and the choice of which virtual machine to use. The web interfaces were implemented using PHP, AJAX and MySQL. The web interface for teachers used an AJAX-framework called DataTables [1], which facilitates and minimizes the code amount required for presenting data from e.g. MySQL in tables on a web page. It was chosen to be used for the presentation of the users of the system in the administration interface for this reason. AJAX was used because it provides good capabilities of creating a website with interaction with the user. The back end on the server side was implemeted in PHP. It receives arguments by POST and GET. There are different php-files receiving data from the web interfaces with different responsibilities.

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REGÅRDH, CARL. "Evaluating the cloud : On benchmarking and choosing a cloud". Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-142432.

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The introduction of the cloud changes the way we look upon data and computations. It is no longer clear what "our system" is or if data is really "our data" as it isn’t stored on our own disks and computations are not performed on our own processors. While this shift brings many benefits, there are also problems. Questions regarding performance variation, security, loss of control, data and code lock-in etcetera are still a concern. As such, any cloud deployment carries a certain risk. In order to better understand this risk customers have to evaluate various cloud providers from a multitude of angles, which is a time consuming and difficult task. In this report we show how a public cloud can be evaluated and benchmarked for a number of key parameters by first assessing how a number of common workloads fare in a cloud setting and then by performing a technical benchmark of Windows Azure and Amazon EC2. Discussions regarding the non-technical aspects to a cloud are also provided. Lastly, a real world situation in which a medium sized organization chose a cloud provider is examined and analyzed. One of the key findings from the technical evaluation, aside from the actual benchmarking results, was that it is not possible to perform a time and effort efficient evaluation of a cloud platform. We find that as the task of cloud evaluation is so complex and costly, most cloud customers are likely to choose platform based on non-technical factors only, such as costs and general preferences. We believe this to be a potentially harmful development. Regarding workloads, we found that security-critical and computationally intensive applications don’t do well in a cloud setting. However, applications which utilize scalability or need to be geographically spread can find the cloud to suit their needs very well. Generally, workloads that are of a sensitive nature or requires serious performance should avoid the cloud for now. In conclusion, we believe that much work needs to be done in order to ease the process of evaluating and choosing cloud platform. There is a lack of openness and standardization which is hurting both business and customers. Considering the many benefits that cloud computing brings, such as scalability and low price; we also think that if these issues were properly dealt with, cloud computing has the potential to truly transform the way we consume and develop programs and data to the better.
Introduktionen av molnet förändrar hur vi ser på data och beräkningar. Det är inte längre tydligt vad som är "vårt system" eller om data verkligen är "vår data" då den inte ligger på våra diskar och beräkningar inte utförs i egna processorer. Även om detta skifte för med sig många fördelar, så finns där också nackdelar. Frågor rörande variation i prestanda, säkerhet, tappad kontroll och att data och kod låses in förblir orosmoment. Som sådant bär varje molndeployment en viss risk. För att bättre förstå den risken måste kunder evaluera diverse tillhandahållare utifrån en rad olika vinklar vilket är ett tidsödande och svårt arbete. I den här rapporten visar vi hur ett publikt moln kan utvärderas för ett antal nyckelparametrar genom att först bedöma hur ett antal vanliga arbetsbördor klarar sig i en molnmiljö och sedan genom att utföra en teknisk utvärdering av Windows Azure och Amazon EC2. Diskussioner rörande de icke-tekniska aspekterna av ett moln ges också. Slutligen studerar vi ett verkligt exempel på hur processen av att välja en molnplattform ofta går till, i form av en fallstudie. En av de viktigaste upptäckterna från den tekniska utvärderingen var, förutom själva datan, att det inte är möjligt att genomföra en tidseffektiv, och inom rimlig ansträngning, utvärdering av en molnplattform. Vi kommer fram till att eftersom uppgiften att utvärdera en plattform är så komplex och tidskrävande, kommer de flesta kunder sannolikt att välja plattform utifrån icke-tekniska parametrar bara, så som pris och allmänna preferenser. Vi anser att det är en potentiellt skadlig utveckling. Rörande arbetsbördor fann vi att säkerhetskritiska och beräkningsintensiva applikationer inte klarar sig bra i en molnmiljö. Däremot fann vi också att applikationer som kräver skalbarhet eller måste vara geografiskt sprida kan finna att molnet fyller deras krav mycket väl. Rent generellt så bör arbetsbördor som är av känslig natur eller kräver hög prestanda undvika molnet som det är just nu. Sammanfattningsvis tror vi att mycket arbete till behövs för att underlätta processen av att utvärdera och välja molnlösning. Det finns en brist på öppenhet och standardisering som skadar både branschen och kunderna. Med molnets alla goda egenskaper i sinne, så som skalbarhet och låga pris; tror vi dock att om dessa problem togs itu med på allvar skulle molnet kunna nå sin fulla potential och i grunden förändra hur vi konsumerar och utvecklar program och data till det bättre.

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Nugent, Paul Winston. "Wide-angle infrared cloud imaging for cloud cover statistics". Thesis, Montana State University, 2008. http://etd.lib.montana.edu/etd/2008/nugent/NugentP0508.pdf.

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Basgall, Paul L. "Lidar point cloud and stereo image point cloud fusion". Thesis, Monterey, California: Naval Postgraduate School, 2013. http://hdl.handle.net/10945/37584.

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Approved for public release; distribution is unlimited
The advent of Light Detection and Ranging (LiDAR) point cloud collection has significantly improved the ability to model the world in precise, fine, three-dimensional details. The objective of this research was to demonstrate accurate, foundation methods for fusing LiDAR data and photogrammetric imagery and their potential for change detection. The scope of the project was to investigate optical image to LiDAR registration methods, focusing on several dissimilar image types including Optical Bar Camera (OBC), high resolution aerial frame, and WorldView 1 satellite with varying LiDAR point densities. An innovative optical image to LiDAR data registration process was established. This approach was demonstrated for one image type using the rational polynomial coefficients (RPC) representation of the panoramic math model improving accuracy from 1.9 m to 0.5 m root mean square (RMS) error. Comparison of stereo imagery point cloud data to the LiDAR point cloud using a 90% confidence interval highlighted changes that included small scale (< 50cm), sensor dependent change and large scale, new home construction change. This research also proposed a fused LiDAR and stereo image base layer as the foundation for further LiDAR/image fusion.

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Pawar, Pramod S. "Cloud broker based trust assessment of cloud service providers". Thesis, City University London, 2015. http://openaccess.city.ac.uk/13687/.

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Cloud computing is emerging as the future Internet technology due to its advantages such as sharing of IT resources, unlimited scalability and flexibility and high level of automation. Along the lines of rapid growth, the cloud computing technology also brings in concerns of security, trust and privacy of the applications and data that is hosted in the cloud environment. With large number of cloud service providers available, determining the providers that can be trusted for efficient operation of the service deployed in the provider’s environment is a key requirement for service consumers. In this thesis, we provide an approach to assess the trustworthiness of the cloud service providers. We propose a trust model that considers real-time cloud transactions to model the trustworthiness of the cloud service providers. The trust model uses the unique uncertainty model used in the representation of opinion. The Trustworthiness of a cloud service provider is modelled using opinion obtained from three different computations, namely (i) compliance of SLA (Service Level Agreement) parameters (ii) service provider satisfaction ratings and (iii) service provider behaviour. In addition to this the trust model is extended to encompass the essential Cloud characteristics, credibility for weighing the feedbacks and filtering mechanisms to filter the dubious feedback providers. The credibility function and the early filtering mechanisms in the extended trust model are shown to assist in the reduction of impact of malicious feedback providers.

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Zambrano, Jesus. "Mobile Cloud Computing: Offloading Mobile Processing to the Cloud". UNF Digital Commons, 2015. http://digitalcommons.unf.edu/etd/594.

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The current proliferation of mobile systems, such as smart phones, PDA and tablets, has led to their adoption as the primary computing platforms for many users. This trend suggests that designers will continue to aim towards the convergence of functionality on a single mobile device. However, this convergence penalizes the mobile system in computational resources such as processor speed, memory consumption, disk capacity, as well as in weight, size, ergonomics and the user’s most important component, battery life. Therefore, this current trend aims towards the efficient and effective use of its hardware and software components. Hence, energy consumption and response time are major concerns when executing complex algorithms on mobile devices because they require significant resources to solve intricate problems. Current cloud computing environments for performing complex and data intensive computation remotely are likely to be an excellent solution for off-loading computation and data processing from mobile devices restricted by reduced resources. In cloud computing, virtualization enables a logical abstraction of physical components in a scalable manner that can overcome the physical constraint of resources. This optimizes IT infrastructure and makes cloud computing a worthy cost effective solution. The intent of this thesis is to determine the types of applications that are better suited to be off-loaded to the cloud from mobile devices. To this end, this thesis quantitatively and qualitatively compares the performance of executing two different kinds of workloads locally on two different mobile devices and remotely on two different cloud computing providers. The results of this thesis are expected to provide valuable insight to developers and architects of mobile applications by providing information on the applications that can be performed remotely in order to save energy and get better response times while remaining transparent to users.

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RODRIGUES, Thiago Gomes. "Cloudacc: a cloud-based accountability framework for federated cloud". Universidade Federal de Pernambuco, 2016. https://repositorio.ufpe.br/handle/123456789/18590.

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Submitted by Fabio Sobreira Campos da Costa (fabio.sobreira@ufpe.br) on 2017-04-19T15:09:08Z No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) tgr_thesis.pdf: 4801672 bytes, checksum: ce1d30377cfe8fad52dbfd02d55554e6 (MD5)
Made available in DSpace on 2017-04-19T15:09:08Z (GMT). No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) tgr_thesis.pdf: 4801672 bytes, checksum: ce1d30377cfe8fad52dbfd02d55554e6 (MD5) Previous issue date: 2016-09-08
The evolution of software service delivery has changed the way accountability is performed. The complexity related to cloud computing environments increases the difficulty in properly performing accountability, since the evidences are spread through the whole infrastructure, from different servers, in physical, virtualization and application layers. This complexity increases when the cloud federation is considered because besides the inherent complexity of the virtualized environment, the federation members may not implement the same security procedures and policies. The main objective of this thesis is to propose an accountability framework named CloudAcc, that supports audit, management, planning and billing process in federated cloud environments, increasing trust and transparency. Furthermore, CloudAcc considers the legal safeguard requirements presented in Brazilian Marco Civil da Internet. We confirm the CloudAcc effectiveness when some infrastructure elements were submitted against Denial of Service (DoS) and Brute Force attacks, and our framework was able to detect them. Facing the results obtained, we can conclude that CloudAcc contributes to the state-of-the-art once it provides the holistic vision of the cloud federated environment through the evidence collection considering the three layers, supporting audit, management, planning and billing process in federated cloud environments.
A maneira de realizar accountability tem variado à medida em que o modo de entrega de serviços de Tecnologia da Informação (TI) tem evoluído. Em ambientes de nuvem a complexidade de realizar accountability apropriadamente é alta porque as evidências devem ser coletadas considerando-se as camadas física, de virtualização e de aplicações, que estão espalhadas em diferentes servidores e elementos da infraestrutura. Esta complexidade é ampliada quando ocorre a federação das infraestruturas de nuvem porque além da complexidade inerente ao ambiente virtualizado, os membros da federação podem não ter os mesmos grupos de políticas e práticas de segurança. O principal objetivo desta tese é propor um framework de accountability, denominado CloudAcc, que suporte processos de auditoria, gerenciamento, planejamento e cobrança, em nuvens federadas, aumentando a confiança e a transparência. Além disso, o CloudAcc também considera os requisitos legais para a salvaguarda dos registros, conforme descrito no Marco Civil da Internet brasileira. A efetividade do CloudAcc foi confirmada quando alguns componentes da infraestrutura da nuvem foram submetidos a ataques de negação de serviço e de força bruta, e o framework foi capaz de detectá-los. Diante dos resultados obtidos, pode-se concluir que o CloudAcc contribui para o estado-da-arte, uma vez que fornece uma visão holística do ambiente de nuvem federada através da coleta de evidências em três camadas suportando os processos de auditoria, gerenciamento, planejamento e cobrança.

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Smith, Neil Tyler. "Suppression of marina stratocumulus clouds due to reduced cloud condensation nuclei". Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2000. http://handle.dtic.mil/100.2/ADA384672.

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Thesis (M.S. in Meteorology and Physical Oceanography) Naval Postgraduate School, Sept. 2000.
Thesis advisor(s): Durkee, Philip A. Includes bibliographical references (p. 43-44). Also available online.

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Xhagjika, Vamis. "Resource, data and application management for cloud federations and multi-clouds". Doctoral thesis, Universitat Politècnica de Catalunya, 2017. http://hdl.handle.net/10803/409728.

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Distributed Real-Time Media Processing refers to classes of highly distributed, delay no-tolerant applications that account for the majority of the data traffic generated in the world today. Real-Time audio/video conferencing and live content streaming are of particular research interests as technology forecasts predict video traffic surpassing every other type of data traffic in the world in the near future. These applications are very sensitive to both communication properties such as latency, jitter, packet loss, bit rate as well as backend stream processing load profiles. In this work we provide a novel and generalized large-scale Multi-Cloud architectural blueprint for ISP and Carrier providers, that permits smart geo-distributed service placement in order to optimize latency/locality of stream processing applications. We provide as a well self-managed Intra-Cloud federation algorithm based on gradient topologies in order to optimize routes in a live media streaming backend. Additionally we introduce a novel distributed Network Bandwidth Manager that optimizes system stability by arbitrating network bandwidth between multiple Cloud services sharing the same network infrastructure. At last, an empirical study is provided connecting media quality parameters and Cloud backend load profiles, including an algorithm for stream allocation on Cloud Selective Forwarding units.
El procesamiento de medios en tiempo real distribuido se refiere a clases de aplicaciones altamente distribuidas, no tolerantes al retardo, que representan la mayoría del tráfico de datos generado en el mundo actual. Las conferencias de audio y video en tiempo real y la transmisión de contenido en vivo tienen especial interés en investigación, ya que la prospectiva tecnológica estima que el tráfico de video supere a cualquier otro tipo de tráfico de datos en el futuro cercano. La transmisión en vivo se refiere a aplicaciones en las que flujos de audio/vídeo de una fuente se han de entregar a un conjunto de destinos en lugares geográficos diferentes mientras se mantiene baja la latencia de entrega del flujo (como por ejemplo la cobertura de eventos en vivo). Las plataformas de conferencia en tiempo real son plataformas de aplicación que implementan comunicaciones de audio/video en tiempo real entre muchos participantes. Ambas categorías presentan una alta sensibilidad tanto al estado de la red (latencia, jitter, pérdida de paquetes, velocidad de bits) como a los perfiles de carga de la infraestructura de procesamiento de flujo (latencia y jitter introducidos durante el procesamiento en la nube de paquetes de datos multimedia). Esta tesis trata de mejorar el procesamiento de datos multimedia en tiempo real tanto en los parámetros de nivel de red como en las optimizaciones en la nube.

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Paunova, Irena T. "Explicit numerical study of aerosol-cloud interactions in boundary layer clouds". Thesis, McGill University, 2006. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=100670.

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Aerosol-cloud interactions, the mechanisms by which aerosols impact clouds and precipitation and clouds impact aerosols as they are released upon droplet evaporation, are investigated by means of explicit high-resolution (3 km) numerical simulations with the Mesoscale Compressible Community (MC2) model. This model, which is non-hydrostatic and compressible, was extended by including separate continuity equations for dry and activated multi-modal aerosol, and for chemical species. The sources and sinks include: particle activation, solute transfer between drops, generation of extra soluble material in clouds via oxidation of dissolved SO2, and particle regeneration. The cloud processes are represented by an advanced double-moment bulk microphysical parameterization.
Three summertime cases have been evaluated: a marine stratus and a cold frontal system over the Bay of Fundy near Nova Scotia, formed on 1 Sep 1995 and extensively sampled as a part of the Radiation, Aerosol, and Cloud Experiment (RACE); and a continental stratocumulus, formed over the southern coast of Lake Erie on 11 July 2001. The marine stratus and the frontal system have been examined for the effects of aerosol on cloud properties and thoroughly evaluated against the available observations. The frontal system and the continental stratocumulus have been evaluated for the effects of cloud processing on the aerosol spectrum.
The marine stratus simulations suggest a significant impact of the aerosol on cloud properties. A simulation with mechanistic activation and a uni-modal aerosol showed the best agreement with observations in regards to cloud-base and cloud-top height, droplet concentration, and liquid water content. A simulation with a simple activation parameterization failed to simulate essential bulk cloud properties: droplet concentration was significantly underpredicted and the vertical structure of the cloud was inconsistent with the observations. A simulation with a mechanistic parameterization and a bi-modal aerosol, including a coarse mode observed in particle spectra below cloud, showed high sensitivity of droplet concentration to the inclusion of the coarse mode. There was a significant reduction in droplet number relative to the simulation without the coarse mode. A similar change occurred in the precipitating system preceding the stratus formation, resulting in an enhancement of precipitation in the weaker (upstream) part of the system while the precipitation in the more vigorous (downstream) part of the system remained almost unaffected.
Aerosol processing via collision-coalescence and aqueous chemistry in the non-drizzling stratocumulus case suggests that impact of the two mechanisms is of similar magnitude and can be as large as a 3-5 % increase in particle mean radius. A more detailed analysis reveals that the impact of chemical processing is oxidant-limited; beyond times when the oxidant (H 2O2) is depleted (∼ 40 minutes), the extent of processing is determined by supply of fresh oxidant from large-scale advection (fresh gaseous emissions are not considered). Aerosol processing via drop collision-coalescence alone suggests, as expected, sensitivity to the strength of the collection process in clouds. Larger particle growth, up to 5-10 %, is observed in the case of the frontal clouds, which exhibit stronger drop collection compared to that in the stratocumulus case. The processed aerosol exerted a measurable impact on droplet concentrations and precipitation production in the frontal clouds. For the case modeled here, contrary to expectations, the processed spectrum (via physical processing) produced higher droplet concentration than the unprocessed spectrum. The reasons explaining this phenomenon and the resulting impact on precipitation production are discussed.
The current work illustrates the complexity of the coupled system at the cloud system scales, revealed earlier at much smaller large eddy scales. If future parameterizations of the regional effect of aerosols on clouds are to be developed, careful consideration is required of the many of feedbacks in the boundary layer.

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Otepka, Johannes, Sajid Ghuffar, Christoph Waldhauser, Ronald Hochreiter i Norbert Pfeifer. "Georeferenced Point Clouds: A Survey of Features and Point Cloud Management". MDPI AG, 2013. http://dx.doi.org/10.3390/ijgi2041038.

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This paper presents a survey of georeferenced point clouds. Concentration is, on the one hand, put on features, which originate in the measurement process themselves, and features derived by processing the point cloud. On the other hand, approaches for the processing of georeferenced point clouds are reviewed. This includes the data structures, but also spatial processing concepts. We suggest a categorization of features into levels that reflect the amount of processing. Point clouds are found across many disciplines, which is reflected in the versatility of the literature suggesting specific features. (authors' abstract)

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Kanmantha, Reddy Pruthvi Raj Reddy. "Comparative Analysis of Virtual Desktops in Cloud : Performance comparison of OpenStack Private Cloud and AWS Public cloud". Thesis, Blekinge Tekniska Högskola, Institutionen för kommunikationssystem, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-10840.

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Pireva, Krenare. "Cloud eLearning : personalisation of learning using resources from the Cloud". Thesis, University of Sheffield, 2018. http://etheses.whiterose.ac.uk/22828/.

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With the advancement of technologies, the usage of alternative eLearning systems as complementary systems to the traditional education systems is becoming part of the everyday activities. At the same time, the creation of learning resources has increased exponentially over time. However, the usability and reusability of these learning resources in various eLearning systems is difficult when they are unstandardised and semi-standardised learning resources. Furthermore, eLearning activities' lack of suitable personalisation of the overall learning process fails to optimize resources' and systems' potentialities. At the same time, the evolution of learning technologies and cloud computing creates new opportunities for traditional eLearning to evolve and place the learner in the center of educational experiences. This thesis contributes to a holistic approach to the field by using a combination of artificial intelligence techniques to automatically generate a personalized learning path for individual learners using Cloud resources. We proposed an advancement of eLearning, named the Cloud eLearning, which recognizes that resources stored in Cloud eLearning can potentially be used for learning purposes. Further, the personalised content shown to Cloud Learners will be offered through automated personalized learning paths. The main issue was to select the most appropriate learning resources from the Cloud and include them in a personalised learning path. This become even more challenging when these potential learning resources were derived from various sources that might be structured, semi- structure or even unstructured, tending to increase the complexity of overall Cloud eLearning retrieval and matching processes. Therefore, this thesis presents an original concept,the Cloud eLearning, its Cloud eLearning Learning Objects as the smallest standardized learning objects, which permits reusing them because of semantic tagging with metadata. Further, it presents the Cloud eLearning Recommender System, that uses hierarchical clustering to select the most appropriate resources and utilise a vector space model to rank these resources in order of relevance for any individual learner. And it concludes with Cloud eLearning automated planner, which generates a personalised learning path using the output of the CeL recommender system.

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Söderberg, Freja. "Cloud Overlap Assumption and Cloud Cover Validation for HARMONIE-AROME". Thesis, Uppsala universitet, Luft-, vatten och landskapslära, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-283606.

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One major challenge in representing the state of the atmosphere through weather forecast models, is the parametrization of sub-grid clouds. At every vertical column of grid cells within a weather forecast model, the fractional cloud cover is assumed to overlap according to a prescribed Cloud Overlap Assumption (COA). Since the total cloud cover is used in radiation schemes, the choice of COA affects e.g. radiative fluxes. High-quality weather forecasts is important for many aspects of the society, thus, the analysis of cloud parametrizations is significant. In this study, COAs for the HIRLAM ALADIN Research on mesoscale Modelling for NWP In Euromed (HARMONIE) - Application of Research to Operations at Mesoscale (AROME) model were investigated for two time-periods. Moreover, validation methods of cloud cover for HARMONIE-AROME were analyzed due to uncertainties in cloud observations. Both satellite data derived from geostationary Meteosat Second Generation (MSG) satellite and synoptic ground based observations were used to validate cloud cover in this project. It was found that HARMONIE-AROME underestimates the cloud cover during summer. Therefore, the random (RAN) COA is the preferred COA to use during time periods of mainly convective cloud processes. During the tested winter period, which is assumed to have most clouds of the stratiform type, the results regarding optimal COA were not certain. However, it was concluded that HARMONIE-AROME overestimates the cloud cover during winter, for in which case the maximum-random (MRN) COA is recommended to use. The comparative analysis of cloud cover as obtained from the COAs against observed cloud cover, was shown sensitive to the methods used to the observational data. Using a model grid of 25 km instead of 2.5 km when comparing synoptic observations to modelled cloud cover, the errors were reduced. When using binary satellite data, it was concluded that a 5x5 smoothing algorithm was the most appropriate to use since this averaging of several pixels are sufficient to represent sub-grid clouds.

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Eliasson, Salomon. "An Extrapolation Technique of Cloud Characteristics Using Tropical Cloud Regimes". Thesis, Uppsala universitet, Luft-, vatten och landskapslära, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-303881.

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This thesis tests a technique based on objectively identified tropical cloud regimes, in which some cloud characteristics are extrapolated from a single site in the tropics to the entire tropics. Information on cloud top pressure, cloud optical thickness and total cloud cover from 1985-2000 has been derived from the ISCCP D1 data set and has been used to create maps of tropical cloud regimes and maps of total cloud cover over the tropics. The distribution and characteristics of the tropical cloud regimes has been discussed after which total cloud cover values were extrapolated to the cloud regimes over the tropics. After a qualitative and quantitative assessment was used to evaluate the success of the extrapolating method, it was found that the method worked especially well for time averaged extrapolated data sets using the median values of total cloud cover values.
I detta magisterexamensarbete testas en metod som baseras på objektivt framtagna molnregimer, där några molnegenskaper extrapoleras från en plats i tropikerna till resten av tropikerna. Informationen om molntoppstrycket, molnens optiska djup och det totala molntäcket från 1985-2000 har hämtats från ISCCP D1 data set och har använts till att skapa kartor för tropiska molnregimer och för det totala molntäcket över tropikerna. Distributionen och egenskaperna av de tropiska molnregimerna har diskuterats och användes sedan för att extrapolera det totala molntäcket över tropikerna. En kvalitativ och kvantitativ undersökning användes för att utvärdera framgångarna med extrapoleringsmetoden. Det framkom att metoden fungerade särskilt bra för extrapolerade data set med median totala molntäcksvärden över längre tidsperioder.

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Farrington, Robert. "Testing mixed phase cloud parametrizations through confronting models with in-situ observations". Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/testing-mixed-phase-cloud-parametrizations-through-confronting-models-with-insitu-observations(e2b7e31b-fa4a-4501-9f30-2ca2452c58fa).html.

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Accurate representations of clouds are required in large-scale weather and climate models to make detailed and precise predictions of the Earth's weather and climate. Representations of clouds within these models are limited by the present understanding of the role of aerosols in the microphysical processes responsible for cloud formation and development. As part of a NERC funded CASE studentship with the Met Office, this thesis aims to test new aerosol-dependent mixed-phase cloud parametrizations by obtaining extensive cloud microphysical measurements in-situ and comparing and contrasting them with model simulations. Cloud particle concentrations were measured during the Ice NUcleation Process Investigation And Quantification (INUPIAQ) field campaign at Jungfraujoch in Switzerland. A new probe was used to separate droplet and small ice concentrations by using depolarisation ratio and size thresholds. Whilst the new small ice crystal and droplet number concentrations compared favourably with other instruments, the size and depolarisation ratio thresholds were found to be subjective, and suggested to vary from cloud to cloud. An upwind site was chosen to measure out-of-cloud aerosol particle concentrations during INUPIAQ. During periods where the site was out-of-cloud and upwind of Jungfraujoch, several large-scale model simulations were run using the aerosol concentrations in an aerosol-dependent ice nucleation parametrization. The inclusion of the parametrization failed to increase the simulated ice crystal number concentrations, which were several orders of magnitude below those observed in-situ at Jungfraujoch. Several possible explanations for the high observed ice crystal number concentrations at Jungfraujoch are tested using further model simulations. Further primary ice nucleation was ruled out, as the inclusion of additional ice nucleating particles in the model simulations suppressed the liquid water content, preventing the simulation of the mixed-phase clouds observed during INUPIAQ. The addition of ice crystals produced via the Hallett-Mossop process upwind of Jungfraujoch into the model only infrequently provided enough ice crystals to match the observed concentrations. The inclusion of a simple surface flux of hoar crystals into the model simulations was found to produce ice crystal number concentrations of a similar magnitude to those observed at Jungfraujoch, without depleting the simulated liquid water content. By confronting models with in-situ observations of cloud microphysical process, this thesis highlights interactions between surface ice crystals and mixed-phase clouds, and their potential impact on large-scale models.

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Haver, Eirik, Eivind Melvold i Pål Ruud. "Cloud Storage Vault". Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for telematikk, 2011. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-13812.

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Today, major IT-companies, such as Microsoft, Amazon and Google, are offering online storage services to their customers. This is a favourable solution -- as opposed to regular storage -- in terms of low costs, reliability, scalability and capacity. However, important security features such as data privacy and integrity are often absent.To address these issues, a cryptographic architecture is proposed that ensures the confidentiality and integrity of the data stored by users, independent of the trust of the provider. This includes secure sharing of private data among users of the same service.The underlying cryptographic architecture is based on existing open source systems and cryptographic primitives. The architecture was implemented as a reusable general library in Java. An Android client was created, and several performance tests were conducted. The proof of concept system shows that it is possible to implement the proposed scheme, and that the cryptographic operations does not significantly affect the user experience on an Android device. Possible weaknesses of the scheme are identified.We present a scheme for secure storage and sharing of files on an untrusted server, and argue for its validity. To support streaming functionality, the scheme could be extended with hash trees to validate small parts of a file at the time.

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Forsman, Mona. "Point cloud densification". Thesis, Umeå universitet, Institutionen för fysik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-39980.

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Several automatic methods exist for creating 3D point clouds extracted from 2D photos. In manycases, the result is a sparse point cloud, unevenly distributed over the scene.After determining the coordinates of the same point in two images of an object, the 3D positionof that point can be calculated using knowledge of camera data and relative orientation. A model created from a unevenly distributed point clouds may loss detail and precision in thesparse areas. The aim of this thesis is to study methods for densification of point clouds. This thesis contains a literature study over different methods for extracting matched point pairs,and an implementation of Least Square Template Matching (LSTM) with a set of improvementtechniques. The implementation is evaluated on a set of different scenes of various difficulty. LSTM is implemented by working on a dense grid of points in an image and Wallis filtering isused to enhance contrast. The matched point correspondences are evaluated with parameters fromthe optimization in order to keep good matches and discard bad ones. The purpose is to find detailsclose to a plane in the images, or on plane-like surfaces. A set of extensions to LSTM is implemented in the aim of improving the quality of the matchedpoints. The seed points are improved by Transformed Normalized Cross Correlation (TNCC) andMultiple Seed Points (MSP) for the same template, and then tested to see if they converge to thesame result. Wallis filtering is used to increase the contrast in the image. The quality of the extractedpoints are evaluated with respect to correlation with other optimization parameters and comparisonof standard deviation in x- and y- direction. If a point is rejected, the option to try again with a largertemplate size exists, called Adaptive Template Size (ATS).

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Gorelik, Eugene. "Cloud computing models". Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/79811.

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Thesis (S.M. in Engineering and Management)--Massachusetts Institute of Technology, Engineering Systems Division, 2013.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 79-80).
Information Technology has always been considered a major pain point of enterprise organizations, from the perspectives of both cost and management. However, the information technology industry has experienced a dramatic shift in the past decade - factors such as hardware commoditization, open-source software, virtualization, workforce globalization, and agile IT processes have supported the development of new technology and business models. Cloud computing now offers organizations more choices regarding how to run infrastructures, save costs, and delegate liabilities to third-party providers. It has become an integral part of technology and business models, and has forced businesses to adapt to new technology strategies. Accordingly, the demand for cloud computing has forced the development of new market offerings, representing various cloud service and delivery models. These models significantly expand the range of available options, and task organizations with dilemmas over which cloud computing model to employ. This thesis poses analysis of available cloud computing models and potential future cloud computing trends. Comparative analysis includes cloud services delivery (SaaS, PaaS, IaaS) and deployment models (private, public, and hybrid). Cloud computing paradigms are discussed in the context of technical, business, and human factors, analyzing how business and technology strategy could be impacted by the following aspects of cloud computing: --Architecture --Security --Costs --Hardware/software trends (commodity vs. brands, open vs. closed-source) --Organizational/human Factors To provide a systematic approach to the research presented in this paper, cloud taxonomy is introduced to classify and compare the available cloud service offerings. In particular, this thesis focuses on the services of a few major cloud providers. Amazon Web Services (AWS) will be used as a base in many examples because this cloud provider represents approximately 70% of the current public cloud services market. Amazon's AWS has become a cloud services trend-setter, and a reference point for other cloud service providers. The analysis of cloud computing models has shown that public cloud deployment model is likely to stay dominant and keep expanding further. Private and Hybrid deployment models are going to stay for years ahead but their market share is going to continuously drop. In the long-term private and Hybrid cloud models most probably will be used only for specific business cases. IaaS service delivery model is likely to keep losing market share to PaaS and SaaS models because companies realize more value and resource-savings from software and platform services rather than infrastructure. In the near future we can expect significant number of market consolidations with few large players retaining market control at the end.
by Eugene Gorelik.
S.M.in Engineering and Management

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Hellring, Alexander. "DiagStudio in Cloud". Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-31208.

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Dagens elektroniskt komplexa och avancerade fordon har bidragit med att service och underhåll blir allt viktigare. Utifrån detta har diagnostikmjukvaror utvecklats till vad de är idag, stora och komplexa mjukvaror. De är dyra och tillverkarspecifika samt att målgruppen är märkesverkstäder. Att kunderna och målgrupper blir fler är något som på senare år drivit fram önskemål om mjukvaror med mindre funktionalitet för e.g. en biluthyrare. Då ställs frågan, kan inte målgruppen för dessa mjukvaror erbjuda mer flexibel funktionalitet för att skapa kundlösningar för alla typer av önskemål? Flera välanvända och flexibla tjänster och plattformar kan redan utnyttjas online, då kanske deras systemarkitektur kan utnyttjas för att hjälpa till att modernisera dagens diagnostikmjukvaror. Denna arkitektur är ofta något som kallas för Molnet (Cloud) och bidrar med flexibilitet. Denna rapport mynnar ut i en systemarkitektur baserad på Cloud Computing och demonstrerar på den stora storleken på mjukvarorna kan minskas och samtidigt erbjuda valfri diagnostik funktionalitet på valfri enhet. Denna arkitektur har fått namnet DSIC - Diagnostics in Cloud och har tagits fram som ett bevis på ett koncept. Den har utvecklats och testats mot ett fordon som nyttjar General Motors Local Area Network (GMLAN) som kommunicerar över Controller Area Network (CAN). För att kommunicera med fordon har implementeringen av en standard som är framtagen av Society Of Automotive Engineers (SAE) gjorts, J2534. Det har även resulterat i ett nytt sätt för att uppnå Remote Diagnostics som är diagnostik över internet där e.g mekanikern inte behöver vara fysiskt närvarande för att diagnostisera och undersöka fordonets felkoder. Att Cloud system bidrar till nya risker och problem är välkänt. DSIC är endast ett koncept som visar på att Cloud Computing bidrar med att kundlösningar med valbar funktionalitet på valfri enhet är möjligt. Mer forskning och vidareutvecklings behövs, rapporten ger några exempel där säkerheten är slagordet.

Stipendium: Fåhréstipendium”Bästa examensarbete” samtliga ingenjörsprogram

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Sousa, Francisco Cordeiro de. "Mainroad: cloud computing". Master's thesis, NSBE - UNL, 2010. http://hdl.handle.net/10362/10316.

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Imine, Youcef. "Cloud computing security". Thesis, Compiègne, 2019. http://www.theses.fr/2019COMP2520.

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Ces dernières années, nous assistons à une immense révolution numérique de l’internet où de nombreuses applications, innovantes telles que l’internet des objets, les voitures autonomes, etc., ont émergé. Par conséquent, l’adoption des technologies d’externalisations des données, telles que le cloud ou le fog computing, afin de gérer cette expansion technologique semble inévitable. Cependant, l’utilisation du cloud ou du fog computing en tant que plateforme d’externalisation pour le stockage ou le partage des données crée plusieurs défis scientifiques. En effet, externaliser ses données signifie que l’utilisateur perd le contrôle sur ces derniers. D’où la sécurité des données devienne une préoccupation majeure qui doit être proprement traitée. C’est dans ce contexte que s’inscrivent les travaux de cette thèse dans laquelle nous avons déterminé dans un premier temps les principaux problèmes de sécurité liés à l’adoption du cloud et du fog computing. Puis, nous avons adressé trois problématiques de sécurité majeure, qui sont : 1 - Le contrôle d’accès aux données dans une architecture de type Cloud storage, où nous avons proposé une nouvelle solution de contrôle d’accès basée sur le chiffrement à base d’attributs. Notre solution assure un contrôle d’accès souple et à grains fins. De plus, elle permet d’effectuer une révocation immédiate des utilisateurs et des attributs sans aucune mise à jour des clés de chiffrement fournies aux utilisateurs. 2 - Le problème de l’authentification mutuelle entre les utilisateurs et les serveurs Fog dans une architecture Fog computing, où nous avons proposé un nouveau schéma d’authentification efficace, qui assure l’authentification mutuelle et qui est robuste contre les comportements malicieux des serveurs Fog. 3 - Le problème de traçabilité et de la protection de la vie privée dans le cadre des applications de partage d’informations publiques, où nous avons proposé une nouvelle solution pour le partage d’informations publiques assurant le service de traçabilité tout en préservant les informations privées des utilisateurs. Avec notre solution, les serveurs d’externalisations authentifient les utilisateurs sans pouvoir obtenir des informations sur leur vie privée. En cas de comportements malicieux, notre solution permet de tracer les utilisateurs malveillants grâce à une autorité
These last years, we are witnessing a real digital revolution of Internet where many innovative applications such as Internet of Things, autonomous cars, etc., have emerged. Consequently, adopting externalization technologies such as cloud and fog computing to handle this technological expansion seems to be an inevitable outcome. However, using the cloud or fog computing as a data repository opens many challenges in prospect. This thesis addresses security issues in cloud and fog computing which is a major challenge that need to be appropriately overcomed. Indeed, adopting these technologies means that the users lose control over their own data, which exposes it to several security threats. Therefore, we first investigated the main security issues facing the adoption of cloud and fog computing technologies. As one of the main challenges pointed in our investigation, access control is indeed a cornerstone of data security. An efficient access control mechanism must provide enforced and flexible access policies that ensure data protection, even from the service provider. Hence, we proposed a novel secure and efficient attribute based access control scheme for cloud data-storage applications. Our solution ensures flexible and fine-grained access control and prevents security degradations. Moreover, it performs immediate users and attributes revocation without any key regeneration. Authentication service in fog computing architecture is another issue that we have addressed in this thesis. Some traditional authentication schemes endure latency issues while others do not satisfy fog computing requirements such as mutual authentication between end-devices and fog servers. Thus, we have proposed a new, secure and efficient authentication scheme that ensures mutual authentication at the edge of the network and remedies to fog servers' misbehaviors.Finally, we tackled accountability and privacy-preserving challenges in information-sharing applications for which several proposals in the literature have treated privacy issues, but few of them have considered accountability service. Therefore, we have proposed a novel accountable privacy preserving solution for public information sharing in data externalization platforms. Externalization servers in our scheme authenticate any user in the system without violating its privacy. In case of misbehavior, our solution allows to trace malicious users thanks to an authority

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Avlasovych, V. V. "Cloud data Storage". Thesis, Sumy State University, 2016. http://essuir.sumdu.edu.ua/handle/123456789/46877.

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Today, the Internet gives us a lot of opportunities. One of them is a cloud data storage. Cloud Storage is a model of the data warehouse, which is located in the network on a large number of servers and provides non-stop customer access to their data from anywhere and any device with Internet access.

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Gonçalves, Carlos Eduardo Isidro. "Cloud service broker". Master's thesis, Universidade de Aveiro, 2013. http://hdl.handle.net/10773/12746.

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Mestrado em Engenharia de Computadores e Telemática
De acordo com história dos sistemas informáticos, os engenheiros têm vindo a remodelar infraestruturas para melhorar a eficiência das organizações, visando o acesso partilhado a recursos computacionais. O advento da computação em núvem desencadeou um novo paradigma, proporcionando melhorias no alojamento e entrega de serviços através da Internet. Quando comparado com abordagens tradicionais, este apresenta vantajens por disponibilizar acesso ubíquo, escalável e sob demanda, a determinados conjuntos de recursos computacionais partilhados. Ao longo dos últimos anos, observou-se a entrada de novos operadores que providenciam serviços na núvem, a preços competitivos e diferentes acordos de nível de serviço (“Service Level Agreements”). Com a adoção crescente e sem precedentes da computação em núvem, os fornecedores da área estão se a focar na criação e na disponibilização de novos serviços, com valor acrescentado para os seus clientes. A competitividade do mercado e a existência de inúmeras opções de serviços e de modelos de negócio gerou entropia. Por terem sido criadas diferentes terminologias para conceitos com o mesmo significado e o facto de existir incompatibilidade de Interfaces de Programação Aplicacional (“Application Programming Interface”), deu-se uma restrição de fornecedores de serviços específicos na núvem a utilizadores. A fragmentação na faturação e na cobrança ocorreu quando os serviços na núvem passaram a ser contratualizados com diferentes fornecedores. Posto isto, seria uma mais valia existir uma entidade, que harmonizasse a relação entre os clientes e os múltiplos fornecedores de serviços na núvem, por meio de recomendação e auxílio na intermediação. Esta dissertação propõe e implementa um Intermediador de Serviços na Núvem focado no auxílio e motivação de programadores para recorrerem às suas aplicações na núvem. Descrevendo as aplicações de modo facilitado, um algoritmo inteligente recomendará várias ofertas de serviços na núvem cumprindo com os requisitos aplicacionais. Desta forma, é prestado aos utilizadores formas de submissão, gestão, monitorização e migração das suas aplicações numa núvem de núvens. A interação decorre a partir de uma única interface de programação que orquestrará todo um processo juntamente com outros gestores de serviços na núvem. Os utilizadores podem ainda interagir com o Intermediador de Serviços na Núvem a partir de um portal Web, uma interface de linha de comandos e bibliotecas cliente.
Throughout the history of computer systems, experts have been reshaping IT infrastructure for improving the efficiency of organizations by enabling shared access to computational resources. The advent of cloud computing has sparked a new paradigm providing better hosting and service delivery over the Internet. It offers advantages over traditional solutions by providing ubiquitous, scalable and on-demand access to shared pools of computational resources. Over the course of these last years, we have seen new market players offering cloud services at competitive prices and different Service Level Agreements. With the unprecedented increasing adoption of cloud computing, cloud providers are on the look out for the creation and offering of new and valueadded services towards their customers. Market competitiveness, numerous service options and business models led to gradual entropy. Mismatching cloud terminology got introduced and incompatible APIs locked-in users to specific cloud service providers. Billing and charging become fragmented when consuming cloud services from multiple vendors. An entity recommending cloud providers and acting as an intermediary between the cloud consumer and providers would harmonize this interaction. This dissertation proposes and implements a Cloud Service Broker focusing on assisting and encouraging developers for running their applications on the cloud. Developers can easily describe their applications, where an intelligent algorithm will be able to recommend cloud offerings that better suit application requirements. In this way, users are aided in deploying, managing, monitoring and migrating their applications in a cloud of clouds. A single API is required for orchestrating the whole process in tandem with truly decoupled cloud managers. Users can also interact with the Cloud Service Broker through a Web portal, a command-line interface, and client libraries.

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