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AlJabban, Tarek. "Distributed database storage management for a cloud computing infrastructure". Thesis, McGill University, 2013. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=114556.
Pełny tekst źródłaLes applications Internet ont récemment connu une croissance considérable en termes de taille et de complexité. Afin de satisfaire la forte demande pour les ressources informatiques et les espaces de stockage, les technologies en distribution ont commencé à devenir plus impliquées dans les applications à grande échelle. Le Cloud Computing est l'une de ces nombreuses technologies qui ont émergé pour aider à atteindre les objectifs de ces applications, telles que la haute disponibilité, les performances et l'évolutivité.Platform as a Service (PaaS) est un type de service qui peut être fourni par les solutions de Cloud Computing. Ces systèmes suivent souvent une architecture multi-niveaux qui se compose principalement d'un niveau de présentation, un niveau d'application et d'un niveau de base de données. Les volumes de données échangées entre l'application et la base de données deviennent énormes en particulier pour les applications de niveau entreprise. En conséquence, la conception de la base de données dans les systèmes de Cloud Computing doit prendre en compte le challenge de l'évolution des quantités énormes de données. Dans cette mémoire, nous proposons une approche de distribution des données qui peuvent être utilisées pour améliorer l'évolutivité des bases de données. Nous proposons deux techniques qui peuvent être appliquées à un serveur de base de données unique traditionnelle.Ces techniques fonctionnent en remplaçant le paradigme traditionnel utilisant une seule machine de stockage avec un paradigme de stockage distribué. Les techniques proposées maintiennent les caractéristiques qui existaient à l'origine dans le système de base de données, et en plus fournissent les caractéristiques de la distribution et de la réplication. Ces deux fonctionnalités supplémentaires aident à améliorer le système de tolérance aux pannes, car ils diminuent la possibilité d'avoir une défaillance au niveau du serveur de base de données. La distribution du stockage permet de résoudre les problèmes de performances spécifiques, tels que la réduction de l'utilisation des entrées/sorties et consécutivement de diminuer la possibilité de saturation des entrées/sorties.Par ailleurs, cela produit d'autres défis de performances qui doivent être pris en compte. Pour prouver la faisabilité de nos techniques, nous les avons implémentées comme des extensions du module de gestion de stockage de la base de données PostgreSQL.
LUCREZIA, FRANCESCO. "Network Infrastructures for Highly Distributed Cloud-Computing". Doctoral thesis, Politecnico di Torino, 2018. http://hdl.handle.net/11583/2706032.
Pełny tekst źródłaKhan, Kashif. "A distributed computing architecture to enable advances in field operations and management of distributed infrastructure". Thesis, University of Manchester, 2012. https://www.research.manchester.ac.uk/portal/en/theses/a-distributed-computing-architecture-to-enable-advances-in-field-operations-and-management-of-distributed-infrastructure(a9181e99-adf3-47cb-93e1-89d267219e50).html.
Pełny tekst źródłaPeters, Stephen Leslie. "Hyperglue : an infrastructure for human-centered computing in distributed, pervasive, intelligent environments". Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/35594.
Pełny tekst źródłaIncludes bibliographical references (p. 161-165).
As intelligent environments (IEs) move from simple kiosks and meeting rooms into the everyday offices, kitchens, and living spaces we use, the need for these spaces to communicate not only with users, but also with each other, will become increasingly important. Users will want to be able to shift their work environment between localities easily, and will also need to communicate with others as they move about. These IEs will thus require two pieces of infrastructure: a knowledge representation (KR) which can keep track of people and their relationships to the world; and a communication mechanism so that the IE can mediate interactions. This thesis seeks to define, explore and evaluate one way of creating this infrastructure, by creating societies of agents that can act on behalf of real-world entities such as users, physical spaces, or informal groups of people. Just as users interact with each other and with objects in their physical location, the agent societies interact with each other along communication channels organized along these same relationships. By organizing the infrastructure through analogies to the real world, we hope to achieve a simpler conceptual model for the users, as well as a communication hierarchy which can be realized efficiently.
by Stephen L. Peters.
Ph.D.
Bianchi, Stefano. "Design and Implementation of a Cloud Infrastructure for Distributed Scientific Calculation". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016.
Znajdź pełny tekst źródłaMechtri, Marouen. "Virtual networked infrastructure provisioning in distributed cloud environments". Thesis, Evry, Institut national des télécommunications, 2014. http://www.theses.fr/2014TELE0028/document.
Pełny tekst źródłaCloud computing emerged as a new paradigm for on-demand provisioning of IT resources and for infrastructure externalization and is rapidly and fundamentally revolutionizing the way IT is delivered and managed. The resulting incremental Cloud adoption is fostering to some extent cloud providers cooperation and increasing the needs of tenants and the complexity of their demands. Tenants need to network their distributed and geographically spread cloud resources and services. They also want to easily accomplish their deployments and instantiations across heterogeneous cloud platforms. Traditional cloud providers focus on compute resources provisioning and offer mostly virtual machines to tenants and cloud services consumers who actually expect full-fledged (complete) networking of their virtual and dedicated resources. They not only want to control and manage their applications but also control connectivity to easily deploy complex network functions and services in their dedicated virtual infrastructures. The needs of users are thus growing beyond the simple provisioning of virtual machines to the acquisition of complex, flexible, elastic and intelligent virtual resources and services. The goal of this thesis is to enable the provisioning and instantiation of this type of more complex resources while empowering tenants with control and management capabilities and to enable the convergence of cloud and network services. To reach these goals, the thesis proposes mapping algorithms for optimized in-data center and in-network resources hosting according to the tenants' virtual infrastructures requests. In parallel to the apparition of cloud services, traditional networks are being extended and enhanced with software networks relying on the virtualization of network resources and functions especially through network resources and functions virtualization. Software Defined Networks are especially relevant as they decouple network control and data forwarding and provide the needed network programmability and system and network management capabilities. In such a context, the first part proposes optimal (exact) and heuristic placement algorithms to find the best mapping between the tenants' requests and the hosting infrastructures while respecting the objectives expressed in the demands. This includes localization constraints to place some of the virtual resources and services in the same host and to distribute other resources in distinct hosts. The proposed algorithms achieve simultaneous node (host) and link (connection) mappings. A heuristic algorithm is proposed to address the poor scalability and high complexity of the exact solution(s). The heuristic scales much better and is several orders of magnitude more efficient in terms of convergence time towards near optimal and optimal solutions. This is achieved by reducing complexity of the mapping process using topological patterns to map virtual graph requests to physical graphs representing respectively the tenants' requests and the providers' physical infrastructures. The proposed approach relies on graph decomposition into topology patterns and bipartite graphs matching techniques. The third part propose an open source Cloud Networking framework to achieve cloud and network resources provisioning and instantiation in order to respectively host and activate the tenants' virtual resources and services. This framework enables and facilitates dynamic networking of distributed cloud services and applications. This solution relies on a Cloud Network Gateway Manager and gateways to establish dynamic connectivity between cloud and network resources. The CNG-Manager provides the application networking control and supports the deployment of the needed underlying network functions in the tenant desired infrastructure (or slice since the physical infrastructure is shared by multiple tenants with each tenant receiving a dedicated and isolated portion/share of the physical resources)
Svärd, Petter. "Dynamic Cloud Resource Management : Scheduling, Migration and Server Disaggregation". Doctoral thesis, Umeå universitet, Institutionen för datavetenskap, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-87904.
Pełny tekst źródłaMechtri, Marouen. "Virtual networked infrastructure provisioning in distributed cloud environments". Electronic Thesis or Diss., Evry, Institut national des télécommunications, 2014. http://www.theses.fr/2014TELE0028.
Pełny tekst źródłaCloud computing emerged as a new paradigm for on-demand provisioning of IT resources and for infrastructure externalization and is rapidly and fundamentally revolutionizing the way IT is delivered and managed. The resulting incremental Cloud adoption is fostering to some extent cloud providers cooperation and increasing the needs of tenants and the complexity of their demands. Tenants need to network their distributed and geographically spread cloud resources and services. They also want to easily accomplish their deployments and instantiations across heterogeneous cloud platforms. Traditional cloud providers focus on compute resources provisioning and offer mostly virtual machines to tenants and cloud services consumers who actually expect full-fledged (complete) networking of their virtual and dedicated resources. They not only want to control and manage their applications but also control connectivity to easily deploy complex network functions and services in their dedicated virtual infrastructures. The needs of users are thus growing beyond the simple provisioning of virtual machines to the acquisition of complex, flexible, elastic and intelligent virtual resources and services. The goal of this thesis is to enable the provisioning and instantiation of this type of more complex resources while empowering tenants with control and management capabilities and to enable the convergence of cloud and network services. To reach these goals, the thesis proposes mapping algorithms for optimized in-data center and in-network resources hosting according to the tenants' virtual infrastructures requests. In parallel to the apparition of cloud services, traditional networks are being extended and enhanced with software networks relying on the virtualization of network resources and functions especially through network resources and functions virtualization. Software Defined Networks are especially relevant as they decouple network control and data forwarding and provide the needed network programmability and system and network management capabilities. In such a context, the first part proposes optimal (exact) and heuristic placement algorithms to find the best mapping between the tenants' requests and the hosting infrastructures while respecting the objectives expressed in the demands. This includes localization constraints to place some of the virtual resources and services in the same host and to distribute other resources in distinct hosts. The proposed algorithms achieve simultaneous node (host) and link (connection) mappings. A heuristic algorithm is proposed to address the poor scalability and high complexity of the exact solution(s). The heuristic scales much better and is several orders of magnitude more efficient in terms of convergence time towards near optimal and optimal solutions. This is achieved by reducing complexity of the mapping process using topological patterns to map virtual graph requests to physical graphs representing respectively the tenants' requests and the providers' physical infrastructures. The proposed approach relies on graph decomposition into topology patterns and bipartite graphs matching techniques. The third part propose an open source Cloud Networking framework to achieve cloud and network resources provisioning and instantiation in order to respectively host and activate the tenants' virtual resources and services. This framework enables and facilitates dynamic networking of distributed cloud services and applications. This solution relies on a Cloud Network Gateway Manager and gateways to establish dynamic connectivity between cloud and network resources. The CNG-Manager provides the application networking control and supports the deployment of the needed underlying network functions in the tenant desired infrastructure (or slice since the physical infrastructure is shared by multiple tenants with each tenant receiving a dedicated and isolated portion/share of the physical resources)
Rojas, Balderrama Javier. "Gestion du cycle de vie de services déployés sur une infrastructure de calcul distribuée en neuroinformatique". Phd thesis, Université de Nice Sophia-Antipolis, 2012. http://tel.archives-ouvertes.fr/tel-00804893.
Pełny tekst źródłaSuthakar, Uthayanath. "A scalable data store and analytic platform for real-time monitoring of data-intensive scientific infrastructure". Thesis, Brunel University, 2017. http://bura.brunel.ac.uk/handle/2438/15788.
Pełny tekst źródłaLakew, Ewnetu Bayuh. "Autonomous cloud resource provisioning : accounting, allocation, and performance control". Doctoral thesis, Umeå universitet, Institutionen för datavetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-107955.
Pełny tekst źródłaAmbroz, Luca. "Evaluation of a cloud infrastructure for the CMS distributed data analysis in the top quark sector at the LHC". Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amslaurea.unibo.it/7703/.
Pełny tekst źródłaPeiro, Sajjad Hooman. "Towards Unifying Stream Processing over Central and Near-the-Edge Data Centers". Licentiate thesis, KTH, Programvaruteknik och Datorsystem, SCS, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-193582.
Pełny tekst źródłaQC 20161005
Toor, Salman Zubair. "Managing Applications and Data in Distributed Computing Infrastructures". Doctoral thesis, Uppsala universitet, Avdelningen för beräkningsvetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-173467.
Pełny tekst źródłaeSSENCE
Toor, Salman. "Managing applications and data in distributed computing infrastructures". Licentiate thesis, Uppsala universitet, Avdelningen för teknisk databehandling, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-121099.
Pełny tekst źródłaeSSENCE
Espling, Daniel. "Enabling Technologies for Management of Distributed Computing Infrastructures". Doctoral thesis, Umeå universitet, Institutionen för datavetenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-80129.
Pełny tekst źródłaNote that the author changed surname from Henriksson to Espling in 2011
Chuchuk, Olga. "Optimisation de l'accès aux données au CERN et dans la Grille de calcul mondiale pour le LHC (WLCG)". Electronic Thesis or Diss., Université Côte d'Azur, 2024. http://www.theses.fr/2024COAZ4005.
Pełny tekst źródłaThe Worldwide LHC Computing Grid (WLCG) offers an extensive distributed computing infrastructure dedicated to the scientific community involved with CERN's Large Hadron Collider (LHC). With storage that totals roughly an exabyte, the WLCG addresses the data processing and storage requirements of thousands of international scientists. As the High-Luminosity LHC phase approaches, the volume of data to be analysed will increase steeply, outpacing the expected gain through the advancement of storage technology. Therefore, new approaches to effective data access and management, such as caches, become essential. This thesis delves into a comprehensive exploration of storage access within the WLCG, aiming to enhance the aggregate science throughput while limiting the cost. Central to this research is the analysis of real file access logs sourced from the WLCG monitoring system, highlighting genuine usage patterns.In a scientific setting, caching has profound implications. Unlike more commercial applications such as video streaming, scientific data caches deal with varying file sizes—from a mere few bytes to multiple terabytes. Moreover, the inherent logical associations between files considerably influence user access patterns. Traditional caching research has predominantly revolved around uniform file sizes and independent reference models. Contrarily, scientific workloads encounter variances in file sizes, and logical file interconnections significantly influence user access patterns.My investigations show how LHC's hierarchical data organization, particularly its compartmentalization into datasets, impacts request patterns. Recognizing the opportunity, I introduce innovative caching policies that emphasize dataset-specific knowledge, and compare their effectiveness with traditional file-centric strategies. Furthermore, my findings underscore the "delayed hits" phenomenon triggered by limited connectivity between computing and storage locales, shedding light on its potential repercussions for caching efficiency.Acknowledging the long-standing challenge of predicting Data Popularity in the High Energy Physics (HEP) community, especially with the upcoming HL-LHC era's storage conundrums, my research integrates Machine Learning (ML) tools. Specifically, I employ the Random Forest algorithm, known for its suitability with Big Data. By harnessing ML to predict future file reuse patterns, I present a dual-stage method to inform cache eviction policies. This strategy combines the power of predictive analytics and established cache eviction algorithms, thereby devising a more resilient caching system for the WLCG. In conclusion, this research underscores the significance of robust storage services, suggesting a direction towards stateless caches for smaller sites to alleviate complex storage management requirements and open the path to an additional level in the storage hierarchy. Through this thesis, I aim to navigate the challenges and complexities of data storage and retrieval, crafting more efficient methods that resonate with the evolving needs of the WLCG and its global community
Ahmed, Arif. "Efficient cloud application deployment in distributed fog infrastructures". Thesis, Rennes 1, 2020. http://www.theses.fr/2020REN1S004.
Pełny tekst źródłaFog computing architectures are composed of a large number of machines distributed across a geographical area such as a city or a region. In this context it is important to support a quick startup of applications deployed in the for of docker containers. This thesis explores the reasons for slow deployment and identifies three improvement opportunities: (1) improving the Docker cache hit rate; (2) speed-up the image installation operation; and (3) accelerate the application boot phase after the creation of a container
Papaspyrou, Alexander [Verfasser], Uwe [Akademischer Betreuer] Schwiegelshohn i Ramin [Gutachter] Yahyapour. "Federated capacity planning for distributed computing infrastructures / Alexander Papaspyrou. Betreuer: Uwe Schwiegelshohn. Gutachter: Ramin Yahyapour". Dortmund : Universitätsbibliothek Dortmund, 2013. http://d-nb.info/1106333322/34.
Pełny tekst źródłaCASTELLANO, GABRIELE. "On the Orchestration of Dynamic Services over Distributed IT Infrastructures". Doctoral thesis, Politecnico di Torino, 2020. http://hdl.handle.net/11583/2841178.
Pełny tekst źródłaKiss, Tamas. "Making distributed computing infrastructures interoperable and accessible for e-scientists at the level of computational workflows". Thesis, University of Westminster, 2012. https://westminsterresearch.westminster.ac.uk/item/8z351/making-distributed-computing-infrastructures-interoperable-and-accessible-for-e-scientists-at-the-level-of-computational-workflows.
Pełny tekst źródłaVervaet, Arthur. "Automated Log-Based Anomaly Detection within Cloud Computing Infrastructures". Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS548.
Pełny tekst źródłaCloud computing aims to optimize resource utilization while accommodating a large user base and elastic services. Within this context, cloud computing platforms bear the responsibility of managing their customers’ infrastructure. The management of an everexpanding number of IT resources poses a significant challenge. In this study, conducted in collaboration with 3DS OUTSCALE, a French public cloud provider, we investigate the potential of log data as a valuable source for automated anomaly detection within cloud computing platforms. Logs serve as a widely utilized information source for various purposes, including monitoring, diagnosing, performance evaluation, and maintenance. These logs are generated during runtime and provide insights into the current state of a system. However, achieving automated real-time anomaly detection based on log data remains a complex undertaking. The intricate nature of cloud computing platforms must be duly considered. Extracting relevant information from a multitude of logging sources and accounting for frequent code base evolution poses challenges and introduces the potential for errors. Furthermore, establishing log relationships within such systems is often an insurmountable task. Log parsing solutions aim to extract variables from the template of log messages. Our first contribution involves a comprehensive study of two state-of-the-art log parsing methods, investigating the impact of hyperparameter tuning and preprocessing on their accuracy. Given the laborious nature of labeling logs related to a cloud computing platform, we sought to identify potential generic values that enable accurate parsing across diverse scenarios. However, our research reveals the infeasibility of finding such requirements, thereby emphasizing the necessity for more robust parsing approaches. Our second contribution introduces USTEP, an innovative online log parsing approach that surpasses existing methods in terms of accuracy, efficiency, and robustness. Notably, USTEP achieves a constant worst-case parsing time complexity, distinguishing it from its predecessors for which the number of already detected templates is to be taken into account. Through a comparative analysis of five online log parsers using 13 open-source datasets and one derived from 3DS OUTSCALE systems, we demonstrate the superior performance of USTEP. Furthermore, we propose USTEP-UP, an architecture that enables the distributed execution of multiple USTEP instances. Our third contribution presents Monilog, a system architecture designed for automated log-based anomaly detection within log data streams. Monilog leverages model/metric pairs to predict log traffic patterns within a system and detect anomalies by identifying deviations in system behavior. Monilog forecasting models are powered by the recent advances in the deep learning field and is able to generate comprehensive reports that highlight the relevant system components and the associated applications. We implemented an instance of Monilog at cloud scale and conducted experimental analyses to evaluate its ability to forecast anomalous events, such as servers crashes resulting from virtualization issues. The results obtained strongly support our hypothesis regarding the utility of logs in detecting and predicting abnormal events. Our Monilog implementation successfully identified abnormal periods and provided valuable insights into the applications involved. With Monilog, we demonstrate the value of logs in predicting anomalies in such environments and provide a flexible architecture for future study. Our work on the parsing field with the proposal of USTEP and USTEP-UP not only provides us with additional information for building anomaly detection models but also has potential benefits for other log mining applications
Moise, Diana Maria. "Optimizing data management for MapReduce applications on large-scale distributed infrastructures". Thesis, Cachan, Ecole normale supérieure, 2011. http://www.theses.fr/2011DENS0067/document.
Pełny tekst źródłaData-intensive applications are nowadays, widely used in various domains to extract and process information, to design complex systems, to perform simulations of real models, etc. These applications exhibit challenging requirements in terms of both storage and computation. Specialized abstractions like Google’s MapReduce were developed to efficiently manage the workloads of data-intensive applications. The MapReduce abstraction has revolutionized the data-intensive community and has rapidly spread to various research and production areas. An open-source implementation of Google's abstraction was provided by Yahoo! through the Hadoop project. This framework is considered the reference MapReduce implementation and is currently heavily used for various purposes and on several infrastructures. To achieve high-performance MapReduce processing, we propose a concurrency-optimized file system for MapReduce Frameworks. As a starting point, we rely on BlobSeer, a framework that was designed as a solution to the challenge of efficiently storing data generated by data-intensive applications running at large scales. We have built the BlobSeer File System (BSFS), with the goal of providing high throughput under heavy concurrency to MapReduce applications. We also study several aspects related to intermediate data management in MapReduce frameworks. We investigate the requirements of MapReduce intermediate data at two levels: inside the same job, and during the execution of pipeline applications. Finally, we show how BSFS can enable extensions to the de facto MapReduce implementation, Hadoop, such as the support for the append operation. This work also comprises the evaluation and the obtained results in the context of grid and cloud environments
Tsafack, Chetsa Ghislain Landry. "System Profiling and Green Capabilities for Large Scale and Distributed Infrastructures". Phd thesis, Ecole normale supérieure de lyon - ENS LYON, 2013. http://tel.archives-ouvertes.fr/tel-00946583.
Pełny tekst źródłaMoise, Diana. "Optimisation de la gestion des données pour les applications MapReduce sur des infrastructures distribuées à grande échelle". Phd thesis, École normale supérieure de Cachan - ENS Cachan, 2011. http://tel.archives-ouvertes.fr/tel-00653622.
Pełny tekst źródłaAriyattu, Resmi. "Towards federated social infrastructures for plug-based decentralized social networks". Thesis, Rennes 1, 2017. http://www.theses.fr/2017REN1S031/document.
Pełny tekst źródłaIn this thesis, we address two issues in the area of decentralized distributed systems: network-aware overlays and collaborative editing. Even though network overlays have been extensively studied, most solutions either ignores the underlying physical network topology, or uses mechanisms that are specific to a given platform or applications. This is problematic, as the performance of an overlay network strongly depends on the way its logical topology exploits the underlying physical network. To address this problem, we propose Fluidify, a decentralized mechanism for deploying an overlay network on top of a physical infrastructure while maximizing network locality. Fluidify uses a dual strategy that exploits both the logical links of an overlay and the physical topology of its underlying network to progressively align one with the other. The resulting protocol is generic, efficient, scalable and can substantially improve network overheads and latency in overlay based systems. The second issue that we address focuses on collaborative editing platforms. Distributed collaborative editors allow several remote users to contribute concurrently to the same document. Only a limited number of concurrent users can be supported by the currently deployed editors. A number of peer-to-peer solutions have therefore been proposed to remove this limitation and allow a large number of users to work collaboratively. These decentralized solution assume however that all users are editing the same set of documents, which is unlikely to be the case. To open the path towards more flexible decentralized collaborative editors, we present Filament, a decentralized cohort-construction protocol adapted to the needs of large-scale collaborative editors. Filament eliminates the need for any intermediate DHT, and allows nodes editing the same document to find each other in a rapid, efficient and robust manner by generating an adaptive routing field around themselves. Filament's architecture hinges around a set of collaborating self-organizing overlays that utilizes the semantic relations between peers. The resulting protocol is efficient, scalable and provides beneficial load-balancing properties over the involved peers
Fabiyi, Adedeji Oyekanmi. "A methodology for developing scientific software applications in science gateways : towards the easy accessibility and availability of scientific applications". Thesis, Brunel University, 2017. http://bura.brunel.ac.uk/handle/2438/16313.
Pełny tekst źródłaVillebonnet, Violaine. "Scheduling and Dynamic Provisioning for Energy Proportional Heterogeneous Infrastructures". Thesis, Lyon, 2016. http://www.theses.fr/2016LYSEN057/document.
Pełny tekst źródłaThe increasing number of data centers raises serious concerns regarding their energy consumption. These infrastructures are often over-provisioned and contain servers that are not fully utilized. The problem is that inactive servers can consume as high as 50% of their peak power consumption.This thesis proposes a novel approach for building data centers so that their energy consumption is proportional to the actual load. We propose an original infrastructure named BML for "Big, Medium, Little", composed of heterogeneous computing resources : from low power processors to classical servers. The idea is to take advantage of their different characteristics in terms of energy consumption, performance, and switch on reactivity to adjust the composition of the infrastructure according to the load evolutions. We define a generic methodology to compute the most energy proportional combinations of machines based on hardware profiling data.We focus on web applications whose load varies over time and design a scheduler that dynamically reconfigures the infrastructure, with application migrations and machines switch on and off, to minimize the infrastructure energy consumption according to the current application requirements.We have developed two different dynamic provisioning algorithms which take into account the time and energy overheads of the different reconfiguration actions in the decision process. We demonstrate through simulations based on experimentally acquired hardware profiles that we achieve important energy savings compared to classical data center infrastructures and management
Truong, Huu Tram. "Optimisation des performances et du coût de flots applicatifs s'exécutant sur des infrastructures de cloud". Phd thesis, Université de Nice Sophia-Antipolis, 2010. http://tel.archives-ouvertes.fr/tel-00805511.
Pełny tekst źródłaTsafack, Chetsa Ghislain Landry. "Profilage système et leviers verts pour les infrastructures distribuées à grande échelle". Phd thesis, Ecole normale supérieure de lyon - ENS LYON, 2013. http://tel.archives-ouvertes.fr/tel-00925320.
Pełny tekst źródłaMoise, Diana Maria. "Optimisation de la gestion des données pour les applications MapReduce sur des infrastructures distribuées à grande échelle". Phd thesis, École normale supérieure de Cachan - ENS Cachan, 2011. http://tel.archives-ouvertes.fr/tel-00696062.
Pełny tekst źródłaWieder, Philipp [Verfasser], Ramin [Akademischer Betreuer] Yahyapour i Dieter [Akademischer Betreuer] Kranzlmüller. "A generic scheduling architecture for service oriented distributed computing infrastructures : Introducing new concepts based on automated negotiation of electronic contracts / Philipp Wieder. Betreuer: Ramin Yahyapour. Gutachter: Dieter Kranzlmüller". Dortmund : Universitätsbibliothek Dortmund, 2013. http://d-nb.info/1099297540/34.
Pełny tekst źródłaFernandez, Héctor. "Coordination flexible fondée sur la métaphore chimique dans les infrastructures de services". Phd thesis, Université Rennes 1, 2012. http://tel.archives-ouvertes.fr/tel-00717057.
Pełny tekst źródłaAlvares, De Oliveira Junior Frederico. "Gestion multi autonome pour l'optimisation de la consommation énergétique sur les infrastructures en nuage". Phd thesis, Université de Nantes, 2013. http://tel.archives-ouvertes.fr/tel-00853575.
Pełny tekst źródłaGiansiracusa, Michelangelo Antonio. "A secure infrastructural strategy for safe autonomous mobile agents". Thesis, Queensland University of Technology, 2005. https://eprints.qut.edu.au/16052/1/Michaelangelo_Giansiracusa_Thesis.pdf.
Pełny tekst źródłaGiansiracusa, Michelangelo Antonio. "A Secure Infrastructural Strategy for Safe Autonomous Mobile Agents". Queensland University of Technology, 2005. http://eprints.qut.edu.au/16052/.
Pełny tekst źródłaKuo, Hsun-Hung, i 郭訓宏. "Towards a High-Performance Grid Computing Infrastructure —A Distributed Databases Approach". Thesis, 2004. http://ndltd.ncl.edu.tw/handle/55069768643873995817.
Pełny tekst źródła國立交通大學
資訊科學系所
92
Grid Computing promises to provide uniform, non-expensive access to computing power through aggregation and utilization of potentially unlimited number of storage and computing devices. For Grid infrastructure developers, this goal amounts to creating effective mechanisms that can allocate and coordinate distributed, heterogeneous resources in a robust and secure manner. For Grid application developers, on the other hand, the main challenge is to make best use of the facilities provided by the infrastructure. Typically, a developer needs to divide a problem into smaller pieces, and plan for appropriate data manipulation and transfer among them. Such divide-and-conquer effort is essential when required memory space is beyond the capabilities of individual machines, but complicated when the infrastructure provides only low-level facilities. This thesis describes database-specific techniques that can relieve developers from complicated memory management. Simply speaking, we use individual relational databases as computational nodes for their storage and computation capabilities, and connect them together into a distributed computing platform. In addition, we define a generic schema capable of storing complex data structures, and mechanisms that allow flexible translation between the schema and other computation-friendly tabular structures. We argue that together these constructs form an attractive platform that can greatly simplify Grid application development, thus contribute to the general Grid Computing community in a useful way.
Δεχουνιώτης, Δημήτριος. "Monitoring and control of distributed web services on cloud computing infrastructure". Thesis, 2014. http://hdl.handle.net/10889/7958.
Pełny tekst źródłaΣτη παρούσα διδακτορική διατριβή δύο ερευνητικά θέματα επιλύονται. Αρχικά αναπτύσσεται μια τεχνική παρακολούθηση της δικτυακής κίνησης με σκοπό την εύρεση λειτουργικών σχέσεων μεταξύ των διάφορων μερών μιας δικτυακής εφαρμογής. Στο δεύτερο μέρος επιλύεται το πρόβλημα της αυτοματοποιημένη διανομής των πόρων σε δικτυακές εφαρμογές που μοιράζονται ένα κοινό περιβάλλον ΥΑΝ ( Υπολογιστική Αρχιτεκτονική Νέφους). Στόχος του πρώτου κεφαλαίου της διατριβής σε σχέση με την υπάρχουσα βιβλιογραφία είναι η δημιουργία ενός εργαλείου ανάλυσης της δικτυακής κίνησης έτσι ώστε να γίνονται κατανοητές οι λειτουργικές σχέσεις μεταξύ μερών των κατανεμημένων δικτυακών υπηρεσιών. Αυτός ο γράφος είναι πρωτεύον εργαλείο για πολλές εργασίες ενός διαχειριστή που εντάσσονται στο πεδίο της ανάλυσης της απόδοσης και της ανάλυσης των αρχικών αιτίων. Για παράδειγμα η ανίχνευση λανθασμένων εγκαταστάσεων ή διαδικτυακών επιθέσεων και ο σχεδιασμός για την επέκταση η μετατροπή των ΥΑΝ υποδομών. Το δεύτερο μέρος της παρούσας διατριβής ασχολείται με το θέμα της αυτοματοποιημένης κατανομής των υπολογιστικών πόρων ενός υπολογιστικού κέντρου ΥΑΝ σε ένα σύνολο εγκατεστημένων δικτυακών εφαρμογών. Η σύγχρονη τεχνολογία της εικονικοποίησης είναι ο κύριος παράγοντας για την «συστέγαση» πολλών κατανεμημένων υπηρεσιών σε υπολογιστικά κέντρα ΥΑΝ. Το ΕΑΚΠ (έλεγχος αποδοχής και κατανομή πόρων) είναι ένα αυτόνομο πλαίσιο μοντελοποίησης και ελέγχου, το οποίο παρέχει ακριβή μοντέλα και λύνει ενοποιημένα τα προβλήματα ΕΑ και ΚΠ των δικτυακών εφαρμογών που είναι συγκεντρωμένες σε υπολογιστικά κέντρα ΥΑΝ. Στόχος του ΕΑΚΠ είναι να μεγιστοποιεί την είσοδο των αιτήσεων των χρηστών στη παρεχόμενη υπηρεσία εκπληρώνοντας παράλληλα και τις προδιαγεγραμμένες απαιτήσεις ΠΥ (Ποιότητα Υπηρεσίας). Ο δεύτερος τοπικός ελεγκτής που παρουσιάζεται σε αυτή τη διατριβή είναι ένα αυτόνομο πλαίσιο μοντελοποίησης και ελέγχου κατανεμημένων δικτυακών εφαρμογών σε περιβάλλον ΥΑΝ, το οποίο λύνει συγχρόνως τα προβλήματα ΕΑ και ΚΠ με ενιαίο τρόπο.
Ur, Rahman Sumair. "Security for Rural Public Computing". Thesis, 2008. http://hdl.handle.net/10012/3986.
Pełny tekst źródłaVieira, Pedro Miguel Lima de Jesus. "A Persistent Publish/Subscribe System for Mobile Edge Computing". Master's thesis, 2018. http://hdl.handle.net/10362/71124.
Pełny tekst źródłaAschenbrenner, Andreas. "Reference Framework for Distributed Repositories". Doctoral thesis, 2009. http://hdl.handle.net/11858/00-1735-0000-0006-B3CF-2.
Pełny tekst źródłaAfonso, José Pedro Serra. "Key-Value Storage for handling data in mobile devices". Master's thesis, 2019. http://hdl.handle.net/10362/92282.
Pełny tekst źródłaPan, Jia-Yang, i 潘家仰. "MPI Infrastructures in A Browser-Based Distributed Computing Environment". Thesis, 2018. http://ndltd.ncl.edu.tw/handle/j9dm4f.
Pełny tekst źródła國立東華大學
資訊工程學系
107
The goal of this thesis is to design and implement the MPI infrastructure in a browser-based distributed computing environment. We learned about several popular distributed communications infrastructures, and we analyze their advantages and disadvantages. Through the analysis results, we find that MPI has many suitable features and becomes one of the best candidates for implementation in browser-based distributed computing environments. Hence, we design a Javascript version of MPI infrastructure, called MPIjs. MPIjs follows the standard MPI API, and has the features of simplicity and compatibility. Such that, the distributed programs using MPIjs may be ported to many popular browser easily, such as Google Chrome and Mozilla Firefox. For validation, we implement a distributed merge sort system using MPIjs. And, we conduct experiments on the NAS Grid Benchmarks by NASA in three configurations: one client with one server, one client with two servers, and one client with four servers. We compare the efficiency of the same benchmarks on two different platforms: MPIjs on Google Chrome, and MPJ Express on Java virtual machine. It is interesting to note that the communication performance for MPIjs is better than MPJ Express, while the computation performance for Java bytecode on JVM is better than Javascript program on Chrome.
(9034865), Deepika Kaushal. "Bootstrapping a Private Cloud". Thesis, 2020.
Znajdź pełny tekst źródła(11132985), Thamir Qadah. "High-performant, Replicated, Queue-oriented Transaction Processing Systems on Modern Computing Infrastructures". Thesis, 2021.
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