Cloud Computing Methodology, Systems, and Applications

Cloud computing has created a shift from the use of physical hardware and locally managed software-enabled platforms to that of virtualized cloud-hosted services. Cloud assembles large networks of virtual services, including hardware (CPU, storage, and network) and software resources (databases, message queuing systems, monitoring systems, and load-balancers). As Cloud continues to revolutionize applications in academia, industry, government, and many other fields, the transition to this efficient and flexible platform presents serious challenges at both theoretical and practical levels—ones that will often require new approaches and practices in all areas. Comprehensive and timely, Cloud Computing: Methodology, Systems, and Applications summarizes progress in state-of-the-art research and offers step-by-step instruction on how to implement it. Summarizes Cloud Developments, Identifies Research Challenges, and Outlines Future Directions Ideal for a broad audience that includes researchers, engineers, IT professionals, and graduate students, this book is designed in three sections: Fundamentals of Cloud Computing: Concept, Methodology, and Overview Cloud Computing Functionalities and Provisioning Case Studies, Applications, and Future Directions It addresses the obvious technical aspects of using Cloud but goes beyond, exploring the cultural/social and regulatory/legal challenges that are quickly coming to the forefront of discussion. Properly applied as part of an overall IT strategy, Cloud can help small and medium business enterprises (SMEs) and governments in optimizing expenditure on application-hosting infrastructure. This material outlines a strategy for using Cloud to exploit opportunities in areas including, but not limited to, government, research, business, high-performance computing, web hosting, social networking, and multimedia. With contributions from a host of internationally recognized researchers, this reference delves into everything from necessary changes in users’ initial mindset to actual physical requirements for the successful integration of Cloud into existing in-house infrastructure. Using case studies throughout to reinforce concepts, this book also addresses recent advances and future directions in methodologies, taxonomies, IaaS/SaaS, data management and processing, programming models, and applications.

Fundamentals of Cloud Computing: Concept, Methodology, and OverviewCloud Computing: An Overview, Abhishek Kalapatapu and Mahasweta SarkarIntroduction Cloud Computing: Past, Present, and FutureCloud Computing MethodologiesThe Cloud Architecture and Cloud Deployment TechniquesCloud ServicesCloud ApplicationsIssues with Cloud ComputingCloud Computing and Grid Computing: A Comparative Study ConclusionCloud Computing and Startups, Ake Edlund and Ilja LivensonIntroductionTime to MarketCloud Computing Implications Changes to the Startup EcosystemEvolution of the Cloud-Based CompanySummary A Taxonomy of Interoperability for IaaS, Ralf Teckelmann, Anthony Sulistio, and Christoph ReichIntroduction Interoperability of Cloud PlatformsTaxonomy of Interoperability for IaaS Related Work Conclusion and Future Work A Taxonomy Study on Cloud Computing Systems and Technologies, Christian Baun and Marcel KunzeDeployment ModelsDelivery Models Cloud Resource Management ConclusionA Network-Oriented Survey and Open Issues in Cloud Computing, Luigi Atzori, Fabrizio Granelli, and Antonio PescapeIntroductionA Brief View of Cloud ComputingResearch Challenges for Engineering Cloud Computing ArchitecturesConclusions and Final RemarksA Taxonomy of QoS Management and Service Selection Methodologies for Cloud Computing, Amir Vahid Dastjerdi and Rajkumar BuyyaIntroductionGeneral Model of Web Service Selection Taxonomy Future Directions and Conclusion An Introduction to Open-Source IaaS Cloud Middleware, Peter Sempolinski and Douglas ThainIntroductionPrevious WorkComponents of an Open-Source Cloud Open-Source Cloud ImplementationsA Cloud Builder’s Checklist The Cloud Computing Software StackFuture Opportunities Conclusion AcknowledgmentsCloud Computing: Performance Analysis, Hamzeh Khazaei, Jelena Mišic, and Vojislav B. MišicIntroductionRelated Work The Analytical ModelNumerical ValidationConclusionsGlossary Intercloud: The Future of Cloud Computing. Concepts and Advantages, Antonio Celesti, Francesco Tusa, Massimo Villari, and Antonio PuliafitoIntroductionFederation: From the Political World to the IT .Intercloud Resource Sharing Models Advantages and New Business Opportunities“High Cooperation Federation” Establishment Technologies for Achieving the Intercloud: an Overview Conclusions and Future Research Challenges Cloud Computing Functionalities and ProvisioningTS3: A Trust Enhanced Secure Cloud Storage Service, Surya Nepal, Shiping Chen, and Jinhui YaoIntroduction The Framework — TrustStore Trust Enhanced Secure Cloud Storage Service (TS3) Prototype Implementation Related Work Conclusions and Future WorkHigh Performance Computing Clouds, Andrzej Goscinski, Michael Brock, and Philip ChurchIntroductionHigh Performance Computing (HPC) vs. Cloud Computing Taxonomy of HPC Clouds HPC Cloud Challenges HPC Cloud Solution: Proposal Cloud Benchmark of HPC ApplicationsConclusions and Future Trends Multitenancy: A New Architecture for Clouds, Enrique Jimenez-Domingo, Angel Lagares-Lemos, and Juan Miguel Gomez-BerbisAbstract Introduction: Concepts and FeaturesBackground Features, Advantages and Problems Modeling Multitenancy An Original Example Future Research Directions Conclusions SOA and QoS Management for Cloud Computing, Vincent C. Emeakaroha, Michael Maurer, Ivan Breskovic, Ivona Brandic and Schahram DustdarIntroduction Related Work Background and MotivationsDesign of the LoM2HiS FrameworkKnowledge Management Evaluations Conclusion and Future Work Auto-Scaling, Load Balancing and Monitoring in Commercial and Open-Source Clouds, Eddy Caron, Frederic Desprez, Luis Rodero-Merino, and Adrian MuresanIntroduction .Cloud Auto-Scaling Cloud Client Load BalancingCloud Client Resource Monitoring Conclusions Monitoring: A Fundamental Process to Provide QoS Guarantees in Cloud-Based Platforms, Gregory Katsaros, Roland Kubert, Georgina Gallizo, and Tinghe WangIntroduction Monitoring in the Cloud Available Monitoring Tools/SolutionMonitoring Infrastructure: A Generic ApproachConclusions Cloud Bursting: Managing Peak Loads by Leasing Public Cloud Services, Michael Mattess, Christian Vecchiola, Saurabh Kumar Garg, and Rajkumar BuyyaIntroductionAneka Hybrid Cloud Deployment Using Aneka Motivation: Case Study ExampleResource Provisioning Policies Performance Analysis Related Work Conclusions Energy-Efficiency Models for Resource Provisioning and Application Migration in Clouds, Young Choon Lee, Dilkushan T. M. Karunaratne, Chen Wang, and Albert Y. ZomayaIntroduction Energy Efficiency in LDCSs Energy Efficiency and Applications Energy Efficient VM Consolidation Summary and ConclusionSecurity, Privacy and Trust Management Issues for Cloud Computing, Sara Kadry Hamouda and John GlauertChapter OverviewIntroduction What Is Cloud Computing Security?Cloud Computing Security Scenarios Cloud Security ChallengesHow to Handle Cloud Security Challenges Cloud Computing Privacy Trust ManagementRecommendation SummaryGlossaryCase Studies, Applications, and Future DirectionsFundamentals of Cloud Application Architecture, Justin Y. ShiIntroduction Necessary and Sufficient ConditionsUnit of Transmission (UT)Mission Critical Application Architecture: A First ExampleMaximally Survivable Transaction Processing Maximally Survivable High Performance Computing SummaryAcknowledgments An Ontology for the Cloud in mOSAIC, Francesco Moscato, Rocco Aversa, Beniamino Di Martino, Massimiliano Rak and Salvatore Venticinque, and Dana PetcuIntroduction The mOSAIC Project Languages for Ontologies DefinitionCloud Standards and Proposals mOSAIC Ontology Conclusions On the Spectrum of Web Scale Data Management, Liang Zhao, Sherif Sakr, and Anna LiuIntroduction NoSQL Key SystemsNoSQL Open Source Projects Database-as-a-ServiceWeb Scale Data Management: Trade-OffsDiscussion and Conclusions Leasing Videoconference Resources on Hybrid Clouds, Javier Cervino, Fernando Escribano, Pedro Rodriguez, Irena Trajkovska, and Joaquin SalvachuaIntroduction Related WorkMotivationImplementation Validation of the Hybrid Cloud Conclusion Advanced Computing Services for Radiotherapy Treatment Planning, Luis M. Carril, Zahara Martin-Rodriguez, Carlos Mourino, Andres Gomez, Ruben Diaz, and Carlos FernandezIntroduction IMRT VerificationArchitecture eIMRT as SaaS in a Cloud InfrastructureTestbeds Experimental Results DiscussionFuture Work Conclusions Cloud Security Requirements Analysis and Security Policy Development Using HOOMT, Kenneth Kofi Fletcher and Xiaoqing (Frank) LiuIntroductionRelated WorkThe ApproachIllustrative Examples Case Study–Application ExampleConclusionExploring the Use of Hybrid HPC-Grids/Clouds Infrastructure for Science and Engineering, Hyunjoo Kim, Yaakoub El-Khamra, Shantenu Jha, and Manish ParasharIntroductionThe Hybrid HPC-Grids/Clouds InfrastructureAutonomic Application Management Using CometCloudScientific Application Workflow An Experimental Investigation of HPC Grids–Cloud Hybrid Usage Modes Acceleration Usage Mode: Application and Infrastructure Adaptivity ConclusionRestFS: The Filesystem as a Connector Abstraction for Flexible Resource and Service Composition, Joseph Kaylor, Konstantin Laufer, and George K. ThiruvathukalRelated WorkComposition of Web Services through the Filesystem Building Application Filesystems with the Naked Object Filesystem (NOFS)Architecture and Details of RestFSSummaryAneka Cloud Application Platform and Its Integration with Windows Azure, Yi Wei, Karthik Sukumar, Christian Vecchiola, Dileban Karunamoorthy, and Rajkumar BuyyaIntroductionBackground DesignImplementationExperiments Related WorkSample Applications of Aneka Conclusions and Future Directions BibliographyIndex

Lizhe Wang Rajiv Ranjan Jinjun Chen Boualem Benatallah