Guide to e-Science (inbunden)
Inbunden (Hardback)
Antal sidor
Springer London Ltd
Yang, Xiaoyu (ed.), Wang, Lizhe (ed.), Jie, Wei (ed.)
XXVIII, 540 p.
228 x 152 x 38 mm
929 g
Antal komponenter
1 Hardback
Guide to e-Science (inbunden)

Guide to e-Science

Next Generation Scientific Research and Discovery

Inbunden Engelska, 2011-05-27
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This guidebook on e-science presents real-world examples of practices and applications, demonstrating how a range of computational technologies and tools can be employed to build essential infrastructures supporting next-generation scientific research. Each chapter provides introductory material on core concepts and principles, as well as descriptions and discussions of relevant e-science methodologies, architectures, tools, systems, services and frameworks. Features: includes contributions from an international selection of preeminent e-science experts and practitioners; discusses use of mainstream grid computing and peer-to-peer grid technology for "open" research and resource sharing in scientific research; presents varied methods for data management in data-intensive research; investigates issues of e-infrastructure interoperability, security, trust and privacy for collaborative research; examines workflow technology for the automation of scientific processes; describes applications of e-science.
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Part I: Sharing and Open Research Implementing a Grid / Cloud e-Science Infrastructure for Hydrological Sciences The German Grid Initiative: Current State and Future Perspectives Democratizing Resource-Intensive e-Science Through Peer-to-Peer Grid Computing Peer4Peer: E-science Communities for Overlay Network and Grid Computing Research Part II: Data-Intensive e-Science A Multi-Disciplinary, Model-Driven, Distributed Science Data System Architecture An Integrated Ontology Management and Data Sharing Framework for Large-Scale Cyberinfrastructure Part III: Collaborative Research An e-Science Cyberinfrastructure for Solar-enabled Water Production and Recycling e-Science Infrastructure Interoperability Guide: The Seven Steps Towards Interoperability for e-Science Trustworthy Distributed Systems Through Integrity-Reporting An Intrusion Diagnosis Perspective on Cloud Computing Part IV: Research Automation, Reusability, Reproducibility and Repeatability Conventional Workflow Technology for Scientific Simulation Facilitating E-Science Discovery Using Scientific Workflows on the Grid Concepts and Algorithms of Mapping Grid-Based Workflows to Resources Within an SLA Context Orchestrating e-Science with the Workflow Paradigm: Task-Based Scientific Workflow Modelling and Performing Part V: e-Science: Easy Science Face Recognition using Global and Local Salient Features OGSA-Based SOA for Collaborative Cancer Research: System Modelling and Generation e-Science: The Way Leading to Modernization of Sciences and Technologies