Cloud Computing (inbunden)
Inbunden (Hardback)
Antal sidor
2nd ed. 2017
Springer International Publishing AG
Antonopoulos, Nick (ed.), Gillam, Lee (ed.)
Bibliographie 110 schwarz-weiße Abbildungen
73 Illustrations, color; 32 Illustrations, black and white; XX, 410 p. 105 illus., 73 illus. in colo
234 x 156 x 24 mm
776 g
Antal komponenter
1 Hardback
Cloud Computing (inbunden)

Cloud Computing

Principles, Systems and Applications

Inbunden Engelska, 2017-06-12
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This practically-focused reference presents a comprehensive overview of the 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. This new edition 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 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 Smart Grids and Smart Cities. As with the first edition, emphasis is placed on the four quality-of-service cornerstones of efficiency, scalability, robustness, and security.
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Övrig information

Prof. Nick Antonopoulos is Dean of the College of Engineering and Technology, and Head of Research Excellence at the University of Derby, UK. Dr. Lee Gillam is Editor-in-Chief of the Journal of Cloud Computing, and Director of Learning and Teaching and Senior Lecturer in the Department of Computer Science at the University of Surrey, UK.


Part I: General Principles The Rise of Cloud Computing in the Era of Emerging Networked Society Bhaskar Prasad Rimal and Ian Lumb Mirror, Mirror on the Wall, How Do I Dimension My Cloud After All? Rafaelli Coutinho, Yuri Frota, Kary Ocana, Daniel de Oliveira and Lucia Drummond A Taxonomy of Adaptive Resource Management Mechanisms in Virtual Machines: Recent Progress and Challenges Jose Simao and Luis Veiga Part II: Science Cloud Exploring Cloud Elasticity in Scientific Applications Guilherme Galante and Rodrigo Da Rosa Righi Clouds and Reproducibility: A Way to Go to Scientific Experiments? Ary Henrique Morais de Oliveira, Daniel de Oliveira and Marta Mattoso Big Data Analytics in Healthcare: A Cloud-Based Framework for Generating Insights Ashiq Anjum, Sanna Aizad, Bilal Arshad, Moeez Subhani, Dominic Davies-Tagg, Tariq Abdullah and Nick Antonopoulos Part III: Data Cloud Implementing MapReduce Applications in Dynamic Cloud Environments Domenico Talia, Paolo Trunfio and Fabrizio Marozzo High Performance Graph Data Management and Mining in Cloud Environments with X10 Miyuru Dayarathna and Toyotaro Suzumura Part IV: Multi-Clouds Facilitating Cloud Federation Management via Data Interoperability Vincent Chimaobi Emeakaroha, Philip Healy and John Morrison Applying Self-* Principles in Heterogeneous Cloud Environments Ioan Dragan, Teodor-Florin Fortis, Gabriel Iuhasz, Dana Petcu and Marian Neagul Part V: Performance and Efficiency Optimizing the Profit and QoS of Virtual Brokers in the Cloud Santiago Iturriaga, Sergio Nesmachnow and Bernabe Dorronsoro Adaptive Resource Allocation for Load Balancing in Cloud Somnath Mazumdar, Alberto Scionti and Anoop S. Kumar Cloud-Supported Certification for Energy-Efficient Web Browsing and Services Goncalo Avelar, Jose Simao and Luis Veiga Datacentre Event Analysis for Knowledge Discovery in Large-Scale Cloud Environments John Panneerselvam, Lu Liu and Yao Lu