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Guide to e-Science : Next Generation Scientific Research and Discovery

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Cover of 'Guide to e-Science : Next Generation Scientific Research and Discovery'

Table of Contents

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    Book Overview
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    Chapter 1 Implementing a Grid/Cloud eScience Infrastructure for Hydrological Sciences
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    Chapter 2 The German Grid Initiative D-Grid: Current State and Future Perspectives
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    Chapter 3 Democratizing Resource-Intensive e-Science Through Peer-to-Peer Grid Computing
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    Chapter 4 Peer4Peer: e-Science Community for Network Overlay and Grid Computing Research
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    Chapter 5 A Multidisciplinary, Model-Driven, Distributed Science Data System Architecture
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    Chapter 6 Galaxy: A Gateway to Tools in e-Science
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    Chapter 7 An Integrated Ontology Management and Data Sharing Framework for Large-Scale Cyberinfrastructure
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    Chapter 8 An e-Science Cyberinfrastructure for Solar-Enabled Water Production and Recycling
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    Chapter 9 e-Science Infrastructure Interoperability Guide: The Seven Steps Toward Interoperability for e-Science
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    Chapter 10 Trustworthy Distributed Systems Through Integrity-Reporting
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    Chapter 11 An Intrusion Diagnosis Perspective on Cloud Computing
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    Chapter 12 Conventional Workflow Technology for Scientific Simulation
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    Chapter 13 Facilitating e-Science Discovery Using Scientific Workflows on the Grid
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    Chapter 14 Concepts and Algorithms of Mapping Grid-Based Workflow to Resources Within an SLA Context
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    Chapter 15 Orchestrating e-Science with the Workflow Paradigm: Task-Based Scientific Workflow Modeling and Executing
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    Chapter 16 Face Recognition Using Global and Local Salient Features
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    Chapter 17 OGSA-Based SOA for Collaborative Cancer Research: System Modeling and Generation
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    Chapter 18 e-Science, the Way Leading to Modernization of Sciences and Technologies: e-Science Practice and Thought in Chinese Academy of Sciences
Attention for Chapter 13: Facilitating e-Science Discovery Using Scientific Workflows on the Grid
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Citations

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Chapter title
Facilitating e-Science Discovery Using Scientific Workflows on the Grid
Chapter number 13
Book title
Guide to e-Science
Published by
Springer, London, January 2011
DOI 10.1007/978-0-85729-439-5_13
Book ISBNs
978-0-85729-438-8, 978-0-85729-439-5
Authors

Jianwu Wang, Prakashan Korambath, Seonah Kim, Scott Johnson, Kejian Jin, Daniel Crawl, Ilkay Altintas, Shava Smallen, Bill Labate, Kendall N. Houk

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 25%
Student > Master 2 25%
Researcher 1 13%
Unknown 3 38%
Readers by discipline Count As %
Computer Science 2 25%
Chemistry 2 25%
Physics and Astronomy 1 13%
Unknown 3 38%