LEADER 05691nam 22005415 450 001 9910254822603321 005 20220418213611.0 010 $a3-319-54645-7 024 7 $a10.1007/978-3-319-54645-2 035 $a(CKB)3710000001393635 035 $a(DE-He213)978-3-319-54645-2 035 $a(MiAaPQ)EBC4871087 035 $a(PPN)202991474 035 $a(EXLCZ)993710000001393635 100 $a20170602d2017 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCloud computing $eprinciples, systems and applications /$fedited by Nick Antonopoulos, Lee Gillam 205 $a2nd ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XX, 410 p. 105 illus., 73 illus. in color.) 225 1 $aComputer Communications and Networks,$x1617-7975 311 $a3-319-54644-9 320 $aIncludes bibliographical references at the end of each chapters and indexes. 327 $aPart I: General Principles -- The Rise of Cloud Computing in the Era of Emerging Networked Society -- Mirror, Mirror on the Wall, How Do I Dimension My Cloud After All? -- A Taxonomy of Adaptive Resource Management Mechanisms in Virtual Machines: Recent Progress and Challenges -- Part II: Science Cloud -- Exploring Cloud Elasticity in Scientific Applications -- Clouds and Reproducibility: A Way to Go to Scientific Experiments? -- Big Data Analytics in Healthcare: A Cloud-Based Framework for Generating Insights -- Part III: Data Cloud -- Implementing MapReduce Applications in Dynamic Cloud Environments -- High Performance Graph Data Management and Mining in Cloud Environments with X10 -- Part IV: Multi-Clouds -- Facilitating Cloud Federation Management via Data Interoperability -- Applying Self-* Principles in Heterogeneous Cloud Environments -- Part V: Performance and Efficiency -- Optimizing the Profit and QoS of Virtual Brokers in the Cloud -- Adaptive Resource Allocation for Load Balancing in Cloud -- Cloud-Supported Certification for Energy-Efficient Web Browsing and Services -- Datacentre Event Analysis for Knowledge Discovery in Large-Scale Cloud Environments. 330 $aThis practically-focused text/reference presents a comprehensive overview of the present state of the art in Cloud Computing, and examines the potential for future Cloud and Cloud-related technologies to address specific industrial and research challenges. Compiled as a series of selected papers from leading Cloud researchers, this new edition recognizes the relative maturity of Cloud, as offers contrast to the first edition, and explores both established and emergent principles, techniques, protocols and algorithms involved with the design, development, and management of Cloud-based systems. The text reviews a range of applications and methods for linking Clouds, undertaking data management and scientific data analysis, and addressing requirements both of data analysis and also of management of large scale and complex systems. This new edition also extends into the emergent next generation of mobile telecommunications, relating network function virtualization and mobile edge Cloud Computing, as supports emergence of, for example, Smart Grids and Smart Cities. As with the first edition, emphasis continues to be placed on the four quality-of-service cornerstones of efficiency, scalability, robustness, and security. Topics and features: Introduces the essential technical characteristics and concepts behind the new developments in Cloud Computing, including architectural principles, performance evaluation, and quality of service Provides in-depth coverage of how Clouds can be designed to produce scientific insights and analysis, addressing agility, reproducibility, consistency and scalability, and proposing novel techniques and systems Offers an overview of novel approaches in producing scalable, high performance and decentralized Cloud systems, including P2P and graphs systems, to enable fault tolerant, scalable and high performance data intensive Clouds Presents ideas for federation and interoperability across Clouds, and the use of autonomic computing and other intelligent approaches to self-manage the federated Clouds Includes a Foreword by Dr. Omer F. Rana, Professor of Performance Engineering at Cardiff University, UK This authoritative volume will be especially appealing to researchers and students interested in aspects of Cloud Computing research, implementation and deployment. Professional system architects and developers, as well as technical managers and IT consultants, will also find the work to serve as an invaluable reference. 410 0$aComputer Communications and Networks,$x1617-7975 606 $aComputer system failures 606 $aComputer software?Reusability 606 $aSystem Performance and Evaluation$3https://scigraph.springernature.com/ontologies/product-market-codes/I13049 606 $aPerformance and Reliability$3https://scigraph.springernature.com/ontologies/product-market-codes/I12077 615 0$aComputer system failures. 615 0$aComputer software?Reusability. 615 14$aSystem Performance and Evaluation. 615 24$aPerformance and Reliability. 676 $a004.6782 702 $aAntonopoulos$b Nick$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGillam$b Lee$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254822603321 996 $aCloud Computing$9773733 997 $aUNINA