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Guide to e-Science

Next Generation Scientific Research and Discovery

  • Book
  • © 2011

Overview

Editors:
  1. Xiaoyu Yang

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

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  2. Lizhe Wang

    1. Pervasive Technology Institute, Indiana University, Bloomington, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. Wei Jie

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

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    You can also search for this editor in PubMed   Google Scholar

  • Includes contributions from an international selection of preeminent e-science experts and practitioners
  • Examines how e-science techniques can be used to facilitate “open” research and resource sharing, data-intensive research, collaborative research, and scientific workflows
  • Describes applications of e-science, highlighting systems used in the fields of biometrics, clinical medicine, and ecology

Part of the book series: Computer Communications and Networks (CCN)

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Table of contents (18 chapters)

  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
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Keywords

About this book

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.

Editors and Affiliations

  • 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

Bibliographic Information

  • Book Title: Guide to e-Science

  • Book Subtitle: Next Generation Scientific Research and Discovery

  • Editors: Xiaoyu Yang, Lizhe Wang, Wei Jie

  • Series Title: Computer Communications and Networks

  • DOI: https://doi.org/10.1007/978-0-85729-439-5

  • Publisher: Springer London

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer-Verlag London Limited 2011

  • Hardcover ISBN: 978-0-85729-438-8Published: 27 May 2011

  • Softcover ISBN: 978-1-4471-2658-4Published: 15 July 2013

  • eBook ISBN: 978-0-85729-439-5Published: 26 May 2011

  • Series ISSN: 1617-7975

  • Series E-ISSN: 2197-8433

  • Edition Number: 1

  • Number of Pages: XXVIII, 540

  • Topics: Information Systems and Communication Service, Computer Applications

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