Guide to e-Science

Next Generation Scientific Research and Discovery

Editors:

ISBN: 978-0-85729-438-8 (Print) 978-0-85729-439-5 (Online)
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Table of contents (18 chapters)

  1. Front Matter

    Pages i-xxvii

  2. Sharing and Open Research

    1. Front Matter

      Pages 1-1

    2. Book Chapter

      Pages 3-28

      Implementing a Grid/Cloud eScience Infrastructure for Hydrological Sciences

    3. Book Chapter

      Pages 29-52

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

    4. Book Chapter

      Pages 53-80

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

    5. Book Chapter

      Pages 81-113

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

  3. Data-intensive e-Science

    1. Front Matter

      Pages 115-115

    2. Book Chapter

      Pages 117-143

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

    3. Book Chapter

      Pages 145-177

      Galaxy: A Gateway to Tools in e-Science

    4. Book Chapter

      Pages 179-206

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

  4. Collaborative Research

    1. Front Matter

      Pages 207-207

    2. Book Chapter

      Pages 209-231

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

    3. Book Chapter

      Pages 233-264

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

    4. Book Chapter

      Pages 265-297

      Trustworthy Distributed Systems Through Integrity-Reporting

    5. Book Chapter

      Pages 299-319

      An Intrusion Diagnosis Perspective on Cloud Computing

  5. Collaborative Research

    1. Front Matter

      Pages 321-321

    2. Book Chapter

      Pages 323-352

      Conventional Workflow Technology for Scientific Simulation

    3. Book Chapter

      Pages 353-382

      Facilitating e-Science Discovery Using Scientific Workflows on the Grid

    4. Book Chapter

      Pages 383-416

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

    5. Book Chapter

      Pages 417-450

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

  6. e-Science: easy Science

    1. Front Matter

      Pages 451-451

    2. Book Chapter

      Pages 453-477

      Face Recognition Using Global and Local Salient Features

    3. Book Chapter

      Pages 479-505

      OGSA-Based SOA for Collaborative Cancer Research: System Modeling and Generation

    4. Book Chapter

      Pages 507-532

      e-Science, the Way Leading to Modernization of Sciences and Technologies: e-Science Practice and Thought in Chinese Academy of Sciences

  7. Back Matter

    Pages 533-538