Cloud computing: principles, systems and applications/
edited by Nick Antonopouos, Lee Gillam
- New York: Springer, 2010.
- xx, 410 p. HB
Part I: General Principles The Rise of Cloud Computing in the Era of Emerging Networked SocietyBhaskar Prasad Rimal and Ian LumbMirror, Mirror on the Wall, How Do I Dimension My Cloud After All?Rafaelli Coutinho, Yuri Frota, Kary Ocana, Daniel de Oliveira and Lucia DrummondA Taxonomy of Adaptive Resource Management Mechanisms in Virtual Machines: Recent Progress and ChallengesJose Simao and Luis VeigaPart II: Science CloudExploring Cloud Elasticity in Scientific ApplicationsGuilherme Galante and Rodrigo Da Rosa RighiClouds and Reproducibility: A Way to Go to Scientific Experiments?Ary Henrique Morais de Oliveira, Daniel de Oliveira and Marta MattosoBig Data Analytics in Healthcare: A Cloud-Based Framework for Generating InsightsAshiq Anjum, Sanna Aizad, Bilal Arshad, Moeez Subhani, Dominic Davies-Tagg, Tariq Abdullah and Nick AntonopoulosPart III: Data CloudImplementing MapReduce Applications in Dynamic Cloud EnvironmentsDomenico Talia, Paolo Trunfio and Fabrizio MarozzoHigh Performance Graph Data Management and Mining in Cloud Environments with X10Miyuru Dayarathna and Toyotaro SuzumuraPart IV: Multi-CloudsFacilitating Cloud Federation Management via Data InteroperabilityVincent Chimaobi Emeakaroha, Philip Healy and John MorrisonApplying Self-* Principles in Heterogeneous Cloud EnvironmentsIoan Dragan, Teodor-Florin Fortis, Gabriel Iuhasz, Dana Petcu and Marian NeagulPart V: Performance and EfficiencyOptimizing the Profit and QoS of Virtual Brokers in the CloudSantiago Iturriaga, Sergio Nesmachnow and Bernabe DorronsoroAdaptive Resource Allocation for Load Balancing in CloudSomnath Mazumdar, Alberto Scionti and Anoop S. KumarCloud-Supported Certification for Energy-Efficient Web Browsing and ServicesGoncalo Avelar, Jose Simao and Luis VeigaDatacentre Event Analysis for Knowledge Discovery in Large-Scale Cloud EnvironmentsJohn Panneerselvam, Lu Liu and Yao Lu