Guide to e-Science

by Yang, Xiaoyu; Wang, Lizhe; Jie, Wei

• ISBN13: 9780857294388
• ISBN10: 0857294385
• Format: Hardcover
• Copyright: 2011-06-09
• Publisher: Springer-Verlag New York Inc

Summary

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 #xE2;#xAC;Sopen#xE2;#xAC; 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.

Author Biography

Dr. Xiaoyu Yang is a research engineer in the School of Electronics and Computer Science at the University of Southampton, UK. Dr. Lizhe Wang is a research scientist in the Pervasive Technology Institute at Indiana University, Bloomington, IN, USA. Dr. Wei Jie is a lecturer in the School of Computing at Thames Valley University, London, UK.

Table of Contents

Sharing and Open Research
Implementing a Grid/Cloud eScience Infrastructure for Hydrological Sciences	p. 3
The German Grid Initiative D-Grid: Current State and Future Perspectives	p. 29
Democratizing Resource-Intensive e-Science Through Peer-to-Peer Grid Computing	p. 53
Peer4Peer: e-Science Community for Network Overlay and Grid Computing Research	p. 81
Data-Intensive e-Science
A Multidisciplinary, Model-Driven, Distributed Science Data System Architecture	p. 117
Galaxy: A Gateway to Tools in e-Science	p. 145
An Integrated Ontology Management and Data Sharing Framework for Large-Scale Cyberinfrastructure	p. 179
Collaborative Research
An e-Science Cyberinfrastructure for Solar-Enabled Water Production and Recycling	p. 209
e-Science Infrastructure Interoperability Guide: The Seven Steps Toward Interoperability for e-Science	p. 233
Trustworthy Distributed Systems Through Integrity-Reporting	p. 265
An Intrusion Diagnosis Perspective on Cloud Computing	p. 299
Research Automation, Reusability, Reproducibility and Repeatability
Conventional Workflow Technology for Scientific Simulation	p. 323
Facilitating e-Science Discovery Using Scientific Workflows on the Grid	p. 353
Concepts and Algorithms of Mapping Grid-Based Workflow to Resources Within an SLA Context	p. 383
Orchestrating e-Science with the Workflow Paradigm: Task-Based Scientific Workflow Modeling and Executing	p. 417
e-Science, Easy Science
Face Recognition Using Global and Local Salient Features	p. 453
OGSA-Based SOA for Collaborative Cancer Research: System Modeling and Generation	p. 479
e-Science, the Way Leading to Modernization of Sciences and Technologies: e-Science Practice and Thought in Chinese Academy of Sciences	p. 507
Index	p. 533
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