Relevant bibliographies by topics / Solutions cloud

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Solutions cloud'

Author: Grafiati
Published: 25 May 2024

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Journal articles on the topic "Solutions cloud"

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Kokhanovsky, A. A., and T. Nauss. "Reflection and transmission of solar light by clouds: asymptotic theory." Atmospheric Chemistry and Physics 6, no. 12 (December 11, 2006): 5537–45. http://dx.doi.org/10.5194/acp-6-5537-2006.

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Abstract. The authors introduce a radiative transfer model CLOUD for reflection, transmission, and absorption characteristics of terrestrial clouds and discuss the accuracy of the approximations used within the model. A Fortran implementation of CLOUD is available for download. This model is fast, accurate, and capable of calculating multiple radiative characteristics of cloudy media including the spherical and plane albedo, reflection and transmission functions, absorptance as well as global and diffuse transmittance. The approximations are based on the asymptotic solutions of the radiative transfer equations valid at cloud optical thicknesses larger than 5. While the analytic part of the solutions is treated in the code in an approximate way, the correspondent reflection function (RF) of a semi-infinite water cloud R∞ is calculated using numerical solutions of the radiative transfer equation in the assumption of Deirmendjian's cloud C1 model. In the case of ice clouds, the fractal ice crystal model is used. The resulting values of R∞ with respect to the viewing geometry are stored in a look-up table (LUT). The results obtained are of importance for quick estimations of main radiative characteristics of clouds and also for the solution of inverse problems.
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Phaltane, Saurabh, Anand Nahar, and Nikhil Garge. "Scalable Logging Solutions on Cloud." SIJ Transactions on Computer Science Engineering & its Applications (CSEA) 02, no. 06 (December 11, 2014): 07–11. http://dx.doi.org/10.9756/sijcsea/v2i6/0207710301.

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Patil, Dr Dipti D., Dr V. M. Wadhai Dr. V. M. Wadhai, and Bhagyashri D. Dangewar. "Cloud Security: Problems and Solutions." International Journal of Scientific Research 3, no. 4 (June 1, 2012): 498–500. http://dx.doi.org/10.15373/22778179/apr2014/178.

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Kokhanovsky, A. A., and T. Nauss. "Reflection and transmission of solar light by clouds: asymptotic theory." Atmospheric Chemistry and Physics Discussions 6, no. 4 (August 31, 2006): 8301–34. http://dx.doi.org/10.5194/acpd-6-8301-2006.

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Abstract. The authors introduce the radiative transfer model CLOUD for reflection, transmission, and absorption characteristics of terrestrial clouds and discuss the accuracy of the approximations used within the model. A Fortran implementation of CLOUD is available for download. This model is fast, accurate, and capable of calculating multiple raditiative transfer characteristics of cloudy media including the spherical and plane albedo, reflection and transmission functions, absorptance as well as global and diffuse transmittance. The approximations are based on the asymptotic solutions of the radiative transfer equations. While the analytic part of the solutions is treated in the code in an approximate way, the correspondent reflection function (RF) of a semi-infinite water cloud R∞ is calculated using numerical solutions of the radiative transfer equations in the assumption of Deirmendjian's cloud C1 model. In the case of ice clouds, the fractal ice crystal model is used. The resulting values of R∞ with respect to the viewing geometry are stored in a look-up table (LUT).
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Maria, Amia, and Dr Bhuvana J. "Hybrid Cloud Solutions: Bridging On-Premises and Cloud Infrastructure." International Journal of Research Publication and Reviews 5, no. 3 (March 9, 2024): 4052–56. http://dx.doi.org/10.55248/gengpi.5.0324.0789.

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Kaleem, Hassan, and Ijaz Ahmed. "Cloud Forensics: Challenges and Solutions (Blockchain Based Solutions)." Innovative Computing Review 1, no. 2 (December 26, 2021): 1–26. http://dx.doi.org/10.32350/icr.0102.01.

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Cloud computing is an on-demand service provided for computer resources, data storage and enhancing computing power. Digital forensics is used to help forensic investigators extract evidence against cloud/ cybercriminals and maintain the integrity and security of data stored in a cloud environment. Based on the prior research in this area concerning existing challenges and solutions, this survey focuses on exploring the problems and their proposed solutions on the basis of a detailed literature survey. It critically explores and reviews the prevailing challenges and solutions through an in-depth review of the cloud forensic area. The paper highlights all the current problems in cloud forensics and their solutions previously identified by the researchers to help investigators probe any criminal incident. The three categorization model explores the challenges and solutions of the existing methods and offers directions for future research in this area. Finally, this survey paper can be considered an initiative to carry out research and develop cloud forensic-able services for the cloud environment. INDEX TERMS: blockchain based solution, cloud forensics, cloud forensics challenges, cloud forensics methodologies, cloud forensics solutions
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Raut, Anjana, Anwesha Pattnaik, Rupsa Rani Sahu, and Avni Rana. "Cloud Solutions in Global Health Solutions." International Journal of Inventive Engineering and Sciences 10, no. 1 (January 30, 2023): 1–5. http://dx.doi.org/10.35940/ijies.a1074.0110123.

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Digital innovations and their applications in healthcare have changed the current scenario of delivering healthcare services and storing data. Cloud computing is one such technological adjunct that has the capability of storing volumes of medical data that can be accessed anytime through internet from anywhere. Today all smart devices and health related apps designed for lifestyle changes and monitoring of medical problems use cloud-based programs. These applications result in positive reinforcement for inculcating regular monitoring and counselling. The paper critically discusses and summarizes the cloud-aided performance and applications in health and research. Moreover, it outlines the integration of cloud technology in handling drug theft and counterfeiting. The paper explores misconfigurations and associated risk of current technology to comprehend future scope and applications.
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Aouat, Asmaa, El Abbassia Deba, Abou El Hassan Benyamina, and Djilali Benhamamouch. "Deployment in Cloud Computing." International Journal of Distributed Systems and Technologies 11, no. 1 (January 2020): 27–37. http://dx.doi.org/10.4018/ijdst.2020010103.

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Although clouds have adopted common communication protocols such as HTTP and SOAP, interoperability, integration, and coordination of all clouds remain a concern. Instead, companies are looking for solutions to deploy an infrastructure that spans multiple instances of public and private clouds. Each of the proposed cloud solutions has its own limitations, management APIs, and development cycles that must be monitored and managed to provide a consistent set. The objective of the article is to answer the question: Is there a platform to deploy, run and manage applications in a multi-cloud environment and to ensure their availability, performance, and optimal use of resources?
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Kumar, N. Pradeep, and Mr Rahul Pawar. "Cloud-Based IoT Solutions for Smart Cities." International Journal of Research Publication and Reviews 5, no. 3 (March 9, 2024): 4378–85. http://dx.doi.org/10.55248/gengpi.5.0324.07111.

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Dumic, Emil, and Luis A. da Silva Cruz. "Point Cloud Coding Solutions, Subjective Assessment and Objective Measures: A Case Study." Symmetry 12, no. 12 (November 26, 2020): 1955. http://dx.doi.org/10.3390/sym12121955.

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This paper presents a summary of recent progress in compression, subjective assessment and objective quality measures of point cloud representations of three dimensional visual information. Different existing point cloud datasets, as well as discusses the protocols that have been proposed to evaluate the subjective quality of point cloud data. Several geometry and attribute point cloud data objective quality measures are also presented and described. A case study on the evaluation of subjective quality of point clouds in two laboratories is presented. Six original point clouds degraded with G-PCC and V-PCC point cloud compression and five degradation levels were subjectively evaluated, showing high inter-laboratory correlation. Furthermore, performance of several geometry-based objective quality measures applied to the same data are described, concluding that the highest correlation with subjective scores is obtained using point-to-plane measures. Finally, several current challenges and future research directions on point clouds compression and quality evaluation are discussed.
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Dissertations / Theses on the topic "Solutions cloud"

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Dellner, Felix. "Decision modelling for cloud-based solutions." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-344874.

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The company Omegapoint AB has expressed their interest in devising a way of determining whether or not a software product is best suited for provisioning through a cloud-based or on-premises solution. Choosing the wrong type of solution for a product can become costly and/or result in poor sustainability. Based on a literature study on cloud computing, including authors with different opinions and perspectives, a survey form is developed with critical questions to lead the decision on what type of solution to use. On top of the survey form, a goal programming model is proposed and applied to a set of test cases.The results show that the decision tool can be used to provide guidance. However, for actual implementations of products, further study is always recommended since the model might not be capturing all preconditions.
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Huang, Chengcheng. "Secure network solutions for cloud services." Thesis, Federation University Australia, 2013. http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/81565.

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Securing a cloud network is an important challenge for delivering cloud services to cloud users. There are a number of secure network protocols, such as VPN protocols, currently available to provide different secure network solutions for enterprise clouds. For example, PPTP, L2TP, GRE, IPsec and SSL/TLS are the most widely used VPN protocols in today’s securing network solutions. However, there are some significant challenges in the implementation stage. For example, which VPN solution is easy to deploy in delivering cloud services? Which solution can provide the best network throughput in delivering the cloud services? Which solution can provide the lowest network latency in delivering the cloud services? This thesis addresses these issues by implementing different VPNs in a test bed environment set up by the Cisco routers. Open source measurement tools will be utilized to acquire the results. This thesis also reviews cloud computing and cloud services and look at their relationships. It also explores the benefits and the weaknesses of each securing network solution. The results can not only provide experimental evidence, but also facilitate the network implementers in development and deployment of secure network solutions for cloud services.
Master of Computing (Research)
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Adam, Elena Daniela. "Knowledge management cloud-based solutions in small enterprises." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Informatik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-28275.

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Purpose – The aim of this study is to determine if adopting cloud-based knowledge management is a viable way forward for small enterprises and to investigate what are the main factors that might facilitate or inhibit these companies to adopt such solutions.Design/Methodology/Approach - In order to understand the main factors that could influence the adoption of a cloud-based knowledge management solution in small enterprises, I used a qualitative research approach, based on four semi-structured interviews with four small companies from Romania.Findings – The results of the study suggest that implementing knowledge management in the cloud is particularly beneficial for small enterprises, as a lower investment in IT infra-structure can create a competitive advantage and help them implement knowledge man-agement activities as a strategic resource. Moreover, the study suggests that relative ad-vantage, compatibility and technology readiness will influence companies in moving their knowledge to the cloud. Also, the study reveals that companies which did not adopt such a solution had already established systems for managing knowledge and failed to realize its benefits, it was not perceived as needed, they had a low level of awareness or cited security and uncertainty reasons.
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Fehse, Carsten. "Infrastructure suitability assessment modeling for cloud computing solutions." Thesis, Monterey, California. Naval Postgraduate School, 2011. http://hdl.handle.net/10945/5580.

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Approved for public release; distribution is unlimited
Maturing virtualization in information technology systems has enabled increased implementations of the cloud com-puting paradigm, dissolving the need to co-locate user and computing power by providing desired services through the network. This thesis researches the support that current network modeling and simulation applications can provide to IT projects in planning, implementing and maintaining networks for cloud solutions. A problem-appropriate do-main model and subsequent requirements are developed for the assessment of several network modeling and simula-tion tools, which leads to the identification of a capability gap precluding the use of such tools in early stages of cloud computing projects. Consequently, a practical, modular designed methodology is proposed to measure the essential properties necessary for developing appropriate cloud computing network traffic models. The conducted proof-of-concept experiment applied to a virtual desktop environment finds the proposed methodology suitable and problem-appropriate, and results in recommended steps to close the identified capability gap.
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Johansson, Jonas. "Evaluation of Cloud Native Solutions for Trading Activity Analysis." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-300141.

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Cloud computing has become increasingly popular over recent years, allowing computing resources to be scaled on-demand. Cloud Native applications are specifically created to run on the cloud service model. Currently, there is a research gap regarding the design and implementation of cloud native applications, especially regarding how design decisions affect metrics such as execution time and scalability of systems. The problem investigated in this thesis is whether the execution time and quality scalability, ηt of cloud native solutions are affected when housing the functionality of multiple use cases within the same cloud native application. In this work, a cloud native application for trading data analysis is presented, where the functionality of 3 use cases are implemented to the application: (1) creating reports of trade prices, (2) anomaly detection, and (3) analysis of relation diagram of trades. The execution time and scalability of the application are evaluated and compared to readily available solutions, which serve as a baseline for the evaluation. The results of use cases 1 and 2 are compared to Amazon Athena, while use case 3 is compared to Amazon Neptune. The results suggest that having functionalities combined into the same application could improve both execution time and scalability of the system. The impact depends on the use case and hardware configuration. When executing the use cases in a sequence, the mean execution time of the implemented system was decreased up to 17.2% while the quality scalability score was improved by 10.3% for use case 2. The implemented application had significantly lower execution time than Amazon Neptune but did not surpass Amazon Athena for respective use cases. The scalability of the systems varied depending on the use case. While not surpassing the baseline in all use cases, the results show that the execution time of a cloud native system could be improved by having functionality of multiple use cases within one system. However, the potential performance gains differ depending on the use case and might be smaller than the performance gains of choosing another solution.
Cloud computing har de senaste åren blivit alltmer populärt och möjliggör att skala beräkningskapacitet och resurser på begäran. Cloud native-applikationer är specifikt skapade för att köras på distribuerad infrastruktur. För närvarande finns det luckor i forskningen gällande design och implementering av cloud native applikationer, särskilt angående hur designbeslut påverkar mätbara värden som exekveringstid och skalbarhet. Problemet som undersöks i denna uppsats är huruvida exekveringstiden och måttet av kvalitetsskalbarhet, ηt påverkas när funktionaliteten av flera användningsfall intregreras i samma cloud native applikation. I det här arbetet skapades en cloud native applikation som kombinerar flera användningsfall för att analysera transaktionsbaserad börshandelsdata. Funktionaliteten av 3 användningsfall implementeras i applikationen: (1) generera rapporter över handelspriser, (2) detektering av avvikelser och (3) analys av relations-grafer. Applikationens exekveringstid och skalbarhet utvärderas och jämförs med kommersiella cloudtjänster, vilka fungerar som en baslinje för utvärderingen. Resultaten från användningsfall 1 och 2 jämförs med Amazon Athena, medan användningsfall 3 jämförs med Amazon Neptune. Resultaten antyder att systemets exekveringstid och skalbarhet kan förbättras genom att funktionalitet för flera användningsfall implementeras i samma system. Effekten varierar beroende på användningsfall och hårdvarukonfiguration. När samtliga användningsfall körs i en sekvens, minskar den genomsnittliga körtiden för den implementerade applikationen med upp till 17,2% medan kvalitetsskalbarheten ηt förbättrades med 10,3%för användningsfall 2. Den implementerade applikationen har betydligt kortare exekveringstid än Amazon Neptune men överträffar inte Amazon Athena för respektive användningsfall. Systemens skalbarhet varierade beroende på användningsfall. Även om det inte överträffar baslinjen i alla användningsfall, visar resultaten att exekveringstiden för en cloud native applikation kan förbättras genom att kombinera funktionaliteten hos flera användningsfall inom ett system. De potentiella prestandavinsterna varierar dock beroende på användningsfallet och kan vara mindre än vinsterna av att välja en annan lösning.
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Łaskawiec, Sebastian. "Effective solutions for high performance communication in the cloud." Rozprawa doktorska, Uniwersytet Technologiczno-Przyrodniczy w Bydgoszczy, 2020. http://dlibra.utp.edu.pl/Content/2268.

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Štangl, Rastislav. "Procurement application solutions in cloud environment, evolution and trends." Master's thesis, Vysoká škola ekonomická v Praze, 2013. http://www.nusl.cz/ntk/nusl-199230.

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The goal of the presented thesis is to screen market and to assess the Procurement application solutions provided in cloud with focus on SMB companies. Understanding of Procurement process is base for identification of key functions and requirements on Procurement applications. Market research results in initial high level picture about the Procurement applications available with attention to cloud. Procurement applications assessment determines conclusions on market evolution and trends. The first part of the thesis introduces theoretical background of Procurement process and cloud computing. This part is completed by the list of key functions and requirements, of expected benefits, and of the steps that are important during assessment and selection of Procurement application in business. The second part investigates the Procurement application market and vendors. The screening is oriented on application features, client set, delivery models, and on other characteristics. Eight Procurement application solutions were selected for detailed assessment: Bellwether ePMX, Compleat Spend Control, Coupa, eBid eXchange, Ion Wave Technologies, PurchaseControl, Trade Interchange (ARCUS), and Xtenza. Assessment of the applications results in comparative data that are presented in predefined structure. The primary focus is on application features and Procurement functions supported. Other important evaluation categories are delivery models, security, underlying infrastructure, approval workflows, and commercials. Communication with application vendors contributed to the assessment. This part is finalized with evolution and trend conclusions focusing on cloud proliferation dynamics, and on forecast of new application functions and features that will result in new business benefits.
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Zanni, Alessandro <1987&gt. "Middleware Solutions for Effective Cloud-CPS Integration in Pervasive Environment." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amsdottorato.unibo.it/8527/1/AlessandroZanni_Tesi.pdf.

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The proliferation of a wide range of highly different mobile devices, from tiny sensors to powerful smartphone, with increasing connection abilities, has led to the modification of the way we interact with the surrounded environment. It is growing the manifest need of intermediate middleware solutions that can effectively integrate device localities with the global cloud resources, overcoming the issues related to their direct connection. In this thesis work, the primary objective is to present some promising and feasible real-world solutions, trying to face and cover many different challenges and open-points of the mobile devices applications. The solutions proposed are applied at different levels of the stack, thus dividing them in relation to their internal architectures, in order to underline the intrinsic characteristics associated with the architectural solution, the requirements mainly stressed, and highlighting the most suitable scenarios they can work with. This thesis work aims to push forward the research in the field, mainly based on theoretical architecture and methodological approaches so far, introducing some industrially-relevant implementations, grouped in relation to the specific applications to face, that specifically target the issues of practical feasibility, cost-effectiveness, and efficiency of middleware solutions over easily-deployable environments. The described solutions are specifically designed for the support of mobile services, also in hostile environments, with the main requirements to provide and greatly increase mobile devices requirements. The designs, implementations, and experimental works demonstrate the suitability of the proposed solutions to address several different open points and challenges of mobile devices applications in an efficient and effective way and, also, with applications in large-scale scenarios. Finally, as notable side effect of the present work, the present work present a complete overview of the very recent literature about the intermediate middleware that are emerging.
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GIRAU, ROBERTO. "Architectural and application solutions for the cloud Internet of Things." Doctoral thesis, Università degli Studi di Cagliari, 2017. http://hdl.handle.net/11584/249555.

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The aim of my thesis is to present Lysis, a cloud platform for distributed applications of the Internet of Things. The main features that have been incorporated into its design are as follows: each object is an independent social agent; the PaaS (Platform as a Service) is fully exploited; re-usability at different layers is considered; the data is under the control of users. The first feature has been introduced by adopting the social IoT concept, according to which objects are capable of establishing social relationships in an autonomous way with respect to their owners. This provides the benefits of improving the network scalability and information discovery efficiency. The major components of PaaS services are used for an easy management and development of applications by both users and programmers. The reusability allows the programmers to generate templates of objects and services available to the whole Lysis community. The data generated by the devices is stored at the object owners cloud spaces. As SIoT implementation, in Lysis, the devices need to discover each other in order to create new relationships. To this, three solutions are proposed: the first one relies on the channel scanning; the second one assumes that channel scanning is not possible and makes use of the device localization features; the third one is similar to the second one, but the already existing objects social network is exploited. To show the effectiveness of Lysis platform, I exploited its feature in a Mobile CrowdSensing (MCS) scenario. MCS is defined as a pervasive sensing paradigm where mobile devices gather data with the aim of performing a specific application. I propose a new algorithm to address the resource management issue so that MCS tasks are fairly assigned to the objects, with the objectives of maximizing the lifetime of the task groups. In a further step, I propose an integration of vehicles networks to SIoT leading to the new paradigm of the Social Internet of Vehicles. As regard to this, I show results of software simulations analyzing realistic vehicular mobility trace in order to study the characteristics of the resulting social network structure. Additionally, I present an implementation of a SIoV-enabled system and its integration to Lysis platform. Finally, I investigate the issues related to the portability of Lysis architecture on edge cloud infrastructures. In fact, objects might be located far from the datacenter hosting the conventional cloud, resulting in long delays and inefficient use of communication resources. This thesis investigates how to address these issues by exploiting the computing resources at the edge of the network to host the virtual objects of the SIoT and provides early experimental results. Additionally, a solution is presented that integrates the SIoT concept in the architecture proposed within the INPUT project. More specifically the feature is exploited of the INPUT project, which allows for running the virtual representation of a smart/social object in the access router that is nearest to the physical object. In this way, it is expected that delay will decrease and efficiency in the usage of network resources will increase.
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MILIA, GABRIELE. "Cloud-based solutions supporting data and knowledge integration in bioinformatics." Doctoral thesis, Università degli Studi di Cagliari, 2015. http://hdl.handle.net/11584/266783.

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In recent years, computer advances have changed the way the science progresses and have boosted studies in silico; as a result, the concept of “scientific research” in bioinformatics has quickly changed shifting from the idea of a local laboratory activity towards Web applications and databases provided over the network as services. Thus, biologists have become among the largest beneficiaries of the information technologies, reaching and surpassing the traditional ICT users who operate in the field of so-called "hard science" (i.e., physics, chemistry, and mathematics). Nevertheless, this evolution has to deal with several aspects (including data deluge, data integration, and scientific collaboration, just to cite a few) and presents new challenges related to the proposal of innovative approaches in the wide scenario of emergent ICT solutions. This thesis aims at facing these challenges in the context of three case studies, being each case study devoted to cope with a specific open issue by proposing proper solutions in line with recent advances in computer science. The first case study focuses on the task of unearthing and integrating information from different web resources, each having its own organization, terminology and data formats in order to provide users with flexible environment for accessing the above resources and smartly exploring their content. The study explores the potential of cloud paradigm as an enabling technology to severely curtail issues associated with scalability and performance of applications devoted to support the above task. Specifically, it presents Biocloud Search EnGene (BSE), a cloud-based application which allows for searching and integrating biological information made available by public large-scale genomic repositories. BSE is publicly available at: http://biocloud-unica.appspot.com/. The second case study addresses scientific collaboration on the Web with special focus on building a semantic network, where team members, adequately supported by easy access to biomedical ontologies, define and enrich network nodes with annotations derived from available ontologies. The study presents a cloud-based application called Collaborative Workspaces in Biomedicine (COWB) which deals with supporting users in the construction of the semantic network by organizing, retrieving and creating connections between contents of different types. Public and private workspaces provide an accessible representation of the collective knowledge that is incrementally expanded. COWB is publicly available at: http://cowb-unica.appspot.com/. Finally, the third case study concerns the knowledge extraction from very large datasets. The study investigates the performance of random forests in classifying microarray data. In particular, the study faces the problem of reducing the contribution of trees whose nodes are populated by non-informative features. Experiments are presented and results are then analyzed in order to draw guidelines about how reducing the above contribution. With respect to the previously mentioned challenges, this thesis sets out to give two contributions summarized as follows. First, the potential of cloud technologies has been evaluated for developing applications that support the access to bioinformatics resources and the collaboration by improving awareness of user's contributions and fostering users interaction. Second, the positive impact of the decision support offered by random forests has been demonstrated in order to tackle effectively the curse of dimensionality.
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Books on the topic "Solutions cloud"

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Inc, ebrary, ed. Professional SharePoint 2010 cloud-based solutions. Indianapolis, Ind: Wiley, 2012.

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Cloud-based solutions for healthcare IT. Enfield, NH: Science Publishers, 2011.

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Wicklund, Phillip. Microsoft SharePoint 2010: Deploying Cloud-based solutions. Sebastopol, Calif: Published with the authorization of Microsoft Corp. by O'Reilly Media, 2011.

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Satapathi, Ashirwad, and Abhishek Mishra. Developing Cloud-Native Solutions with Microsoft Azure and .NET. Berkeley, CA: Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9004-0.

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A cloud over Bhopal: Causes, consequences, and constructive solutions. Bombay: Published by Kalos Foundation for the India-America Committee for the Bhopal Victims, 1985.

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Seara, Daniel. Microsoft Azure Data Solutions: An Introduction. Richmond USA: Microsoft Press Pearson Educaton (US), 2021.

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author, Bustamante Michele Leroux, and Ellis Ike author, eds. Exam Ref 70-532: Developing Microsoft Azure solutions. Redmond, Washington: Microsoft Press, a division of Microsoft Corporation, 2015.

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Pal, Souvik, Dac‐Nhuong Le, and Prasant Kumar Pattnaik, eds. Cloud Computing Solutions. Wiley, 2022. http://dx.doi.org/10.1002/9781119682318.

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Oracle Cloud Pocket Solutions Guide: Real Life Solutions for Oracle Cloud. CreateSpace Independent Publishing Platform, 2016.

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MARK A RUSSO CISSP-ISSAP CISO. Cloud Security Solutions : STEP 1: The Cloud Service Level Agreement. Independently Published, 2018.

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Book chapters on the topic "Solutions cloud"

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Beckner, Mark, and Kishore Dharanikota. "Cloud Solutions." In BizTalk 2013 Recipes, 579–634. Berkeley, CA: Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-6374-6_12.

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Doddavula, Shyam Kumar, Ira Agrawal, and Vikas Saxena. "Cloud Computing Solution Patterns: Infrastructural Solutions." In Computer Communications and Networks, 197–219. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5107-4_10.

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Guan, Zhongqi. "Difficulties and Solutions for Industrial Data Security and Compliance Governance." In Cloud Computing – CLOUD 2023, 66–75. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-51709-9_6.

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Hole, Kjell Jørgen. "Anti-fragile Cloud Solutions." In Anti-fragile ICT Systems, 47–56. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30070-2_5.

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Jayashree, L. S., and G. Selvakumar. "Cloud Solutions for IoT." In Getting Started with Enterprise Internet of Things: Design Approaches and Software Architecture Models, 31–48. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-30945-9_2.

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Nilsson, Fredrik. "Cloud-based video solutions." In Intelligent Network Video, 269–81. 3rd ed. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.4324/9781003412205-15.

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Gorman, Brian L. "Implement Secure Cloud Solutions." In Certification Study Companion Series, 351–410. Berkeley, CA: Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9300-3_8.

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Di Martino, Beniamino, Giuseppina Cretella, and Antonio Esposito. "Ready-to-Go Solutions." In Cloud Portability and Interoperability, 59–91. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-13701-8_4.

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Pauly, Michael. "T-Systems' Cloud-Based Solutions for Business Applications." In Cloud Computing, 299–319. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9780470940105.ch11.

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Martin, John Paul, Vipin Singh, K. Chandrasekaran, and A. Kandasamy. "Explicating Fog Computing Key Research Challenges and Solutions." In Cloud Security, 46–63. First edition. | Boca Raton : CRC Press, 2021.: CRC Press, 2021. http://dx.doi.org/10.1201/9780367821555-4.

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Conference papers on the topic "Solutions cloud"

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Horalek, Josef, Ondrej Marik, Sona Neradova, and Stanislav Zitta. "Cloud solutions in education." In 2014 IEEE 12th International Conference on Emerging eLearning Technologies and Applications (ICETA). IEEE, 2014. http://dx.doi.org/10.1109/iceta.2014.7107577.

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Mohammed Badawy, Hani, Adel Moussa, and Naser El-Sheimy. "Synergy between aerial imagery and low density point cloud for automated image classification and point cloud densification." In GEOBIA 2016 : Solutions and Synergies. University of Twente Faculty of Geo-Information and Earth Observation (ITC), 2016. http://dx.doi.org/10.3990/2.411.

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Kim, Minseo, Hyerean Jang, and Youngjoo Shin. "Avengers, Assemble! Survey of WebAssembly Security Solutions." In 2022 IEEE 15th International Conference on Cloud Computing (CLOUD). IEEE, 2022. http://dx.doi.org/10.1109/cloud55607.2022.00077.

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Matveev, Artem. "Cost-Efficient Data Privacy Protection in Multi Cloud Storage." In 3rd International Conference on Data Mining and Machine Learning (DMML 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.120706.

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Data privacy in the cloud is a big concern for all of its users, especially for public clouds. Modern trends in studies utilise multiple clouds to achieve data privacy protection. Most of the present studies focus on business-oriented solutions, but current study aims to create a solution for individual users which would not increase the cost of ownership, and provide enough flexibility and privacy protection by combining password protection, key-derivation, multilayer encryption and key distribution across multiple clouds. New design allows to use single cloud to store protected user data, meanwhile use free plans on other clouds to store key information on others and thereby does not rise a cost of the solution. As a result, proposed design gives multiple layers of protection of Data Privacy while having a low cost of use. With some further adaptation it could be proposed as a business solution.
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Mondol, Joel-Ahmed M. "Cloud security solutions using FPGA." In 2011 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PacRim). IEEE, 2011. http://dx.doi.org/10.1109/pacrim.2011.6032987.

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Morioka, Emi, and Mehrdad S. Sharbaf. "Cloud Computing: Digital Forensic Solutions." In 2015 12th International Conference on Information Technology - New Generations (ITNG). IEEE, 2015. http://dx.doi.org/10.1109/itng.2015.99.

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Shafi, Mohammed, B. Balraj, and Sampath Kumar. "Cloud computing solutions: Library perspectives." In 2012 International Conference on Cloud Computing Technologies, Applications and Management (ICCCTAM). IEEE, 2012. http://dx.doi.org/10.1109/iccctam.2012.6488080.

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Skaar, Lars Arne, Ruth Lennon, E. Michael Maximilien, and Arne Jorgen Berre. "Building the right cloud solutions." In the ACM international conference companion. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1869542.1869616.

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Kushida, Takayuki, and Gopal S. Pingali. "Industry Cloud - Effective Adoption of Cloud Computing for Industry Solutions." In 2014 IEEE 7th International Conference on Cloud Computing (CLOUD). IEEE, 2014. http://dx.doi.org/10.1109/cloud.2014.105.

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Hasan, Muhammad Zulkifl, Muhammad Zunnurain Hussain, Zarish Kamran, Muzna Asif, Summaira Nosheen, Ali Moiz Qureshi, and Adeel Ahmed Siddiqui. "Cloud data Management, a challenge to security." In 2023 Computer Applications & Technological Solutions (CATS). IEEE, 2023. http://dx.doi.org/10.1109/cats58046.2023.10424404.

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Reports on the topic "Solutions cloud"

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Whitener, Dustin Heath, and John Fulton. Turbo FRMAC Cloud Solutions. Office of Scientific and Technical Information (OSTI), September 2018. http://dx.doi.org/10.2172/1471655.

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Lovianova, Iryna V., Dmytro Ye Bobyliev, and Aleksandr D. Uchitel. Cloud calculations within the optional course Optimization Problems for 10th-11th graders. [б. в.], September 2019. http://dx.doi.org/10.31812/123456789/3267.

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The article deals with the problem of introducing cloud calculations into 10th-11th graders’ training to solve optimization problems in the context of the STEM-education concept. After analyzing existing programmes of optional courses on optimization problems, the programme of the optional course Optimization Problems has been developed and substantiated implying solution of problems by the cloud environment CoCalc. It is a routine calculating operation and not a mathematical model that is accentuated in the programme. It allows considering more problems which are close to reality without adapting the material while training 10th-11th graders. Besides, the mathematical apparatus of the course which is partially known to students as the knowledge acquired from such mathematics sections as the theory of probability, mathematical statistics, mathematical analysis and linear algebra is enough to master the suggested course. The developed course deals with a whole class of problems of conventional optimization which vary greatly. They can be associated with designing devices and technological processes, distributing limited resources and planning business functioning as well as with everyday problems of people. Devices, processes and situations to which a model of optimization problem is applied are called optimization problems. Optimization methods enable optimal solutions for mathematical models. The developed course is noted for building mathematical models and defining a method to be applied to finding an efficient solution.
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Jungwirth, Jessica. Final CTAP Report National Technology & Engineering Solutions of Sandia, LLC Technical Assistance With Energy Cloud. Office of Scientific and Technical Information (OSTI), December 2021. http://dx.doi.org/10.2172/1835192.

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Abell, Thomas, Husar Arndt, and May-Ann Lim. Cloud Computing as a Key Enabler for Digital Government across Asia and the Pacific. Asian Development Bank, June 2021. http://dx.doi.org/10.22617/wps210196-2.

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Governments are responding to rapid change and growing demands by citizens and businesses by accelerating the digitalization of public services. They are updating their e-government capabilities, adding new digital tools and services, augmenting their data analytics capabilities, and putting in place digital economy development plans. Many of these changes are enabled by cloud computing technologies that have become commonplace in the digitally connected world. The rapidly scalable computing resources that cloud computing delivers via the internet bring cost benefits, improve agility, ensure resilience, and provide access to the latest solutions that digital technology can offer.
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Abell, Thomas, Arndt Husar, and Lim May-Ann. Cloud Computing as a Key Enabler for Tech Start-Ups across Asia and the Pacific. Asian Development Bank, July 2021. http://dx.doi.org/10.22617/wps210253-2.

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New enterprises that produce digital solutions for businesses, public institutions, civil society, and consumers play a vital role in shaping digital economies. These dynamic start-ups most effectively integrate leading talent and sources of capital. They are driven by an urgency to succeed quickly—if they do not, they will then seek to deploy skills and resources more effectively. Governments need to establish or refine policies and mechanisms that foster vibrant start-up ecosystems, enabled by foundational technologies such as cloud computing. This paper provides an overview of the opportunities and challenges involved and suggests how policymakers can help start-ups make the most of cloud-computing technologies.
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Nechypurenko, Pavlo, Tetiana Selivanova, and Maryna Chernova. Using the Cloud-Oriented Virtual Chemical Laboratory VLab in Teaching the Solution of Experimental Problems in Chemistry of 9th Grade Students. [б. в.], June 2019. http://dx.doi.org/10.31812/123456789/3175.

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The article discusses the importance of the skills of primary school students to solve experimental problems in chemistry and the conditions for the use of virtual chemical laboratories in the process of the formation of these skills. The concept of “experimental chemical problem” was analyzed, classifications were considered, and methodological conditions for using experimental chemical problems in the process of teaching chemistry were described. The essence of the concept of “virtual chemical laboratories” is considered and their main types, advantages and disadvantages that define the methodically reasonable limits of the use of these software products in the process of teaching chemistry, in particular, to support the educational chemical experiment are described. The capabilities of the virtual chemical laboratory VLab to support the process of solving experimental problems in chemistry in grade 9 have been determined. The main advantages and disadvantages of the virtual chemical laboratory VLab on the modeling of chemical processes necessary for the creation of virtual experimental problems in chemistry are analyzed. The features of the virtual chemical laboratory VLab, the essence of its work and the creation of virtual laboratory work in it are described. The results of the study is the development of a set of experimental tasks in chemistry for students in grade 9 on the topic “Solutions” in the cloud-oriented virtual chemical laboratory VLab.
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Solovyanenko, Nina I. ЮРИДИЧЕСКИЕ СТРАТЕГИИ ЦИФРОВОЙ ТРАНСФОРМАЦИИ АГРАРНОГО БИЗНЕСА. DOI CODE, 2021. http://dx.doi.org/10.18411/0131-5226-2021-70004.

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t.The development of global agricultural production and food trade in recent decades implies a digital transformation and the transition to a new technological order, which is an essential factor for sustainable development. Digitalization of agriculture and the food sector is carried out on the basis of IT 2 platforms, the Internet of Things, cloud computing, big data, artificial intelligence, and blockchain technology. Fragmented and unclear legal mechanisms, slow updating of legal regulation hinder the introduction of digital solutions. A modern regulatory framework based on digital strategies should strengthen the confidence of farmers in "smart agriculture". In Russia, the legal mechanism of strategic planning covers the development of the national platform "Digital Agriculture". Digital strategies also include updating basic legislation.
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Tutumluer, Erol, Bill Spencer, Riley Edwards, Kirill Mechitov, Syed Husain, and Issam Qamhia. Sensing Infrastructure for Smart Mobility—Wireless Continuous Monitoring for I-ACT. Illinois Center for Transportation, September 2022. http://dx.doi.org/10.36501/0197-9191/22-019.

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This report proposes a suite of wireless sensing solutions for continuous transportation-infrastructure monitoring. First, various traditional and modern sensors and sensing platforms are described in detail, based on their principles of operation, suitability for transportation-infrastructure monitoring, and issues concerning their use. Then, a suitability-assessment survey conducted to select suitable inter-sensor and sensor-to-cloud communication technology for lower bandwidth and higher bandwidth requiring sensors is presented. Important observations are made, and conclusions are drawn based on multidisciplinary analyses of strengths, weaknesses, opportunities, and threats (SWOT) of various communication technologies and proposed wireless architectures for sensing infrastructure for smart mobility (SISM). Finally, recommendations are made concerning the implementation of proposed wireless architectures for wireless and continuous monitoring of the Illinois Autonomous and Connected Track (I-ACT).
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Kramarenko, Tetiana H., Olha S. Pylypenko, and Vladimir I. Zaselskiy. Prospects of using the augmented reality application in STEM-based Mathematics teaching. [б. в.], February 2020. http://dx.doi.org/10.31812/123456789/3753.

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The purpose of the study is improving the methodology of teaching Mathematics using cloud technologies and augmented reality, analyzing the peculiarities of the augmented reality technology implementing in the educational process. Attention is paid to the study of adaptation of Augmented Reality technology implementing in teaching mathematical disciplines for students. The task of the study is to identify the problems requiring theoretical and experimental solutions. The object of the study is the process of teaching Mathematics in higher and secondary education institutions. The subject of the study is augmented reality technology in STEM-based Mathematics learning. In the result of the study an overview of modern augmented reality tools and their application practices was carried out. The peculiarities of the mobile application 3D Calculator with Augmented reality of Dynamic Mathematics GeoGebra system usage in Mathematics teaching are revealed.
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Kim, Anya, and Ira S. Moskowitz. Incentivized Cloud Computing: A Principal Agent Solution to the Cloud Computing Dilemma. Fort Belvoir, VA: Defense Technical Information Center, September 2010. http://dx.doi.org/10.21236/ada530441.

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