Guide to e-Science

1. Front Matter

   Pages i-xxvii

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2. Sharing and Open Research

   1. Front Matter

      Pages 1-1

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3. Sharing and Open Research

   1. Implementing a Grid/Cloud eScience Infrastructure for Hydrological Sciences

      • Gen-Tao Chiang, Martin T. Dove, C. Isabella Bovolo, John Ewen

      Pages 3-28

   2. The German Grid Initiative D-Grid: Current State and Future Perspectives

      • Stefan Freitag, Philipp Wieder

      Pages 29-52

   3. Democratizing Resource-Intensive e-Science Through Peer-to-Peer Grid Computing

      • Francisco Brasileiro, Nazareno Andrade, Raquel Lopes, Lívia Sampaio

      Pages 53-80

   4. Peer4Peer: e-Science Community for Network Overlay and Grid Computing Research

      • Luís Veiga, João Nuno Silva, João Coelho Garcia

      Pages 81-113

4. Data-Intensive e-Science

   1. Front Matter

      Pages 115-115

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5. Data-intensive e-Science

   1. A Multidisciplinary, Model-Driven, Distributed Science Data System Architecture

      • Daniel J. Crichton, Chris A. Mattmann, John S. Hughes, Sean C. Kelly, Andrew F. Hart

      Pages 117-143

   2. Galaxy: A Gateway to Tools in e-Science

      • Enis Afgan, Jeremy Goecks, Dannon Baker, Nate Coraor, The Galaxy Team, Anton Nekrutenko et al.

      Pages 145-177

   3. An Integrated Ontology Management and Data Sharing Framework for Large-Scale Cyberinfrastructure

      • Mudasser Iqbal, Wenqiang Wang, Cheng Fu, Hock Beng Lim

      Pages 179-206

6. Collaborative Research

   1. Front Matter

      Pages 207-207

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7. Collaborative Research

   1. An e-Science Cyberinfrastructure for Solar-Enabled Water Production and Recycling

      • Yuxia Yao, Hock Beng Lim, Chee Keong Chan, Fook Hoong Choo

      Pages 209-231

   2. e-Science Infrastructure Interoperability Guide: The Seven Steps Toward Interoperability for e-Science

      • Morris Riedel

      Pages 233-264

   3. Trustworthy Distributed Systems Through Integrity-Reporting

      • Jun Ho Huh, Andrew Martin

      Pages 265-297

   4. An Intrusion Diagnosis Perspective on Cloud Computing

      • Junaid Arshad, Paul Townend, Jie Xu

      Pages 299-319

8. Research Automation, Reusability, Reproducibility and Repeatability

   1. Front Matter

      Pages 321-321

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9. Collaborative Research

   1. Conventional Workflow Technology for Scientific Simulation

      • Katharina Görlach, Mirko Sonntag, Dimka Karastoyanova, Frank Leymann, Michael Reiter

      Pages 323-352

   2. Facilitating e-Science Discovery Using Scientific Workflows on the Grid

      • Jianwu Wang, Prakashan Korambath, Seonah Kim, Scott Johnson, Kejian Jin, Daniel Crawl et al.

      Pages 353-382

   3. Concepts and Algorithms of Mapping Grid-Based Workflow to Resources Within an SLA Context

      • Dang Minh Quan, Odej Kao, Jörn Altmann

      Pages 383-416

   4. Orchestrating e-Science with the Workflow Paradigm: Task-Based Scientific Workflow Modeling and Executing

      • Xiping Liu, Wanchun Dou, Jinjun Chen

      Pages 417-450

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.

• Cloud Computing
• Cyberinfrastructure
• Distributed Computing
• Grid Computing
• High-performance Computing
• Service-oriented Computing
• e-Infrastructure
• e-Research
• e-Science

• Reading e-Science Centre, Harry Pitt Building, University of Reading, Reading, United Kingdom

  Xiaoyu Yang

• Pervasive Technology Institute, Indiana University, Bloomington, USA

  Lizhe Wang

• Fac. Professional Studies, School of Computing, Thames Valley University, Ealing, London, United Kingdom

  Wei Jie

Policies and ethics