Guide to e-Science

Next Generation Scientific Research and Discovery

Inbunden, Engelska, 2011

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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.

Produktinformation

Utgivningsdatum2011-05-27
Mått155 x 235 x 34 mm
Vikt1 010 g
FormatInbunden
SpråkEngelska
SerieComputer Communications and Networks
Antal sidor540
Upplaga2011
FörlagSpringer London Ltd
ISBN9780857294388

Tillhör följande kategorier

Tillämpad datateknik inom Data och it
Systemvetenskap och AI inom Data och it
Hårdvara inom Data och it
Nätverk och kommunikation inom Data och it

Part I: Sharing and Open Research.- Implementing a Grid / Cloud e-Science Infrastructure for Hydrological Sciences.- The German Grid Initiative.- 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.- 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.- Part V: e-Science: Easy Science.- Face Recognition using Global and Local Salient Features.- OGSA-Based SOA for Collaborative Cancer Research.- e-Science.