Cloud Computing: Principles, Systems and Applications
- 7h 39m
- Lee Gillam (eds), Nick Antonopoulos
- Springer
- 2010
Cloud computing has recently emerged as a subject of substantial industrial and academic interest, though its meaning and scope is hotly debated. For some researchers, clouds are a natural evolution towards the full commercialisation of grid systems, while others dismiss the term as a mere re-branding of existing pay-per-use technologies. From either perspective, "cloud" is now the label of choice for accountable pay-per-use access to third party applications and computational resources on a massive scale. Clouds support patterns of less predictable resource use for applications and services across the IT spectrum, from online office applications to high-throughput transactional services and high-performance computations involving substantial quantities of processing cycles and storage. The concept of clouds seems to blur the distinctions between a variety of technologies that encompass grid services, web services and data centres, and leads to considerations of lowered-cost provisioning for bursty applications.
This book provides comprehensive coverage of the state of the art in cloud computing, highlighting and clarifying the conceptual and systemic links with other distributed computing approaches.
About the Editors
Dr. Nick Antonopoulos is Professor and Head of the School of Computing at the University of Derby, UK.
Dr. Lee Gillam is a Lecturer in the Department of Computing at the University of Surrey, UK.
In this Book
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Foreword
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Tools and Technologies for Building Clouds
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A Taxonomy, Survey, and Issues of Cloud Computing Ecosystems
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Towards a Taxonomy for Cloud Computing from an e-Science Perspective
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Examining Cloud Computing from the Perspective of Grid and Computer-Supported Cooperative Work
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Overview of Cloud Standards
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Open and Interoperable Clouds—The Cloud@Home Way
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A Peer-to-Peer Framework for Supporting MapReduce Applications in Dynamic Cloud Environments
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Enhanced Network Support for Scalable Computing Clouds
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YML-PC—A Reference Architecture Based on Workflow for Building Scientific Private Clouds
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An Efficient Framework for Running Applications on Clusters, Grids, and Clouds
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Resource Management for Hybrid Grid and Cloud Computing
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Peer-to-Peer Cloud Provisioning—Service Discovery and Load-Balancing
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Mixing Grids and Clouds—High-Throughput Science Using the Nimrod Tool Family
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Cloud Compliance—A Framework for Using Cloud Computing in a Regulated World
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Cloud Computing—Data Confidentiality and Interoperability Challenges
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Security Issues to Cloud Computing
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Securing the Cloud
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Technologies for Enforcement and Distribution of Policy in Cloud Architectures
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The PRISM On-demand Digital Media Cloud
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Cloud Economics—Principles, Costs, and Benefits
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Towards Application-Specific Service Level Agreements—Experiments in Clouds and Grids
