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Guide to e-Science

Next Generation Scientific Research and Discovery

  • Xiaoyu Yang
  • Lizhe Wang
  • Wei Jie

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

Table of contents

  1. Front Matter
    Pages i-xxvii
  2. Sharing and Open Research

    1. Front Matter
      Pages 1-1
    2. Gen-Tao Chiang, Martin T. Dove, C. Isabella Bovolo, John Ewen
      Pages 3-28
    3. Francisco Brasileiro, Nazareno Andrade, Raquel Lopes, Lívia Sampaio
      Pages 53-80
    4. Luís Veiga, João Nuno Silva, João Coelho Garcia
      Pages 81-113
  3. Data-Intensive e-Science

    1. Front Matter
      Pages 115-115
    2. Daniel J. Crichton, Chris A. Mattmann, John S. Hughes, Sean C. Kelly, Andrew F. Hart
      Pages 117-143
    3. Enis Afgan, Jeremy Goecks, Dannon Baker, Nate Coraor, The Galaxy Team, Anton Nekrutenko et al.
      Pages 145-177
    4. Mudasser Iqbal, Wenqiang Wang, Cheng Fu, Hock Beng Lim
      Pages 179-206
  4. Collaborative Research

    1. Front Matter
      Pages 207-207
    2. Yuxia Yao, Hock Beng Lim, Chee Keong Chan, Fook Hoong Choo
      Pages 209-231
    3. Jun Ho Huh, Andrew Martin
      Pages 265-297
    4. Junaid Arshad, Paul Townend, Jie Xu
      Pages 299-319
  5. Research Automation, Reusability, Reproducibility and Repeatability

    1. Front Matter
      Pages 321-321
    2. Katharina Görlach, Mirko Sonntag, Dimka Karastoyanova, Frank Leymann, Michael Reiter
      Pages 323-352
    3. Jianwu Wang, Prakashan Korambath, Seonah Kim, Scott Johnson, Kejian Jin, Daniel Crawl et al.
      Pages 353-382
  6. e-Science, Easy Science

    1. Front Matter
      Pages 451-451
    2. Dakshina Ranjan Kisku, Phalguni Gupta, Jamuna Kanta Sing, Massimo Tistarelli
      Pages 453-477
    3. Tianyi Zang, Radu Calinescu, Marta Kwiatkowska
      Pages 479-505
  7. Back Matter
    Pages 533-538

About this book

Introduction

The way in which scientific research is carried out is undergoing a series of radical changes, worldwide, as a result of the digital revolution. However, this “Science 2.0” requires a comprehensive supporting cyber-infrastructure.

This essential 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. The guide’s explanations and context present a broad spectrum of different e-science system requirements.

Topics and 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, and that ensures the research can be reusable, reproducible and repeatable
  • Describes applications of e-science, highlighting systems used in the fields of biometrics, clinical medicine, and ecology

This highly practical text/reference is a “must-have, must-use” resource for both IT professionals and academic researchers. Graduate students will also benefit from the experiences and viewpoints shared by the authors on this important subject, as well as the instructional nature of this guidebook.

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.

Keywords

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

Editors and affiliations

  • Xiaoyu Yang
    • 1
  • Lizhe Wang
    • 2
  • Wei Jie
    • 3
  1. 1.Reading e-Science Centre, Harry Pitt BuildingUniversity of ReadingReadingUnited Kingdom
  2. 2.Pervasive Technology InstituteIndiana UniversityBloomingtonUSA
  3. 3.Fac. Professional Studies, School of ComputingThames Valley UniversityEaling, LondonUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-85729-439-5
  • Copyright Information Springer-Verlag London Limited 2011
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-0-85729-438-8
  • Online ISBN 978-0-85729-439-5
  • Series Print ISSN 1617-7975
  • Buy this book on publisher's site