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Workflows for e-Science

Overview of attention for book
Cover of 'Workflows for e-Science'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Scientific versus Business Workflows
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    Chapter 3 Generating Complex Astronomy Workflows
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    Chapter 4 A Case Study on the Use of Workflow Technologies for Scientific Analysis: Gravitational Wave Data Analysis
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    Chapter 5 Workflows in Pulsar Astronomy
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    Chapter 6 Workflow and Biodiversity e-Science
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    Chapter 7 Ecological Niche Modeling Using the Kepler Workflow System
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    Chapter 8 Case Studies on the Use of Workflow Technologies for Scientific Analysis: The Biomedical Informatics Research Network and the Telescience Project
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    Chapter 9 Dynamic, Adaptive Workflows for Mesoscale Meteorology
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    Chapter 10 SCEC CyberShake Workflows—Automating Probabilistic Seismic Hazard Analysis Calculations
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    Chapter 11 Control- Versus Data-Driven Workflows
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    Chapter 12 Component Architectures and Services: From Application Construction to Scientific Workflows
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    Chapter 13 Petri Nets
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    Chapter 14 Adapting BPEL to Scientific Workflows
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    Chapter 15 Protocol-Based Integration Using SSDL and π-Calculus
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    Chapter 16 Workflow Composition: Semantic Representations for Flexible Automation
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    Chapter 17 Virtual Data Language: A Typed Workflow Notation for Diversely Structured Scientific Data
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    Chapter 18 Workflow-Level Parametric Study Support by MOTEUR and the P-GRADE Portal
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    Chapter 19 Taverna/myGrid: Aligning a Workflow System with the Life Sciences Community
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    Chapter 20 The Triana Workflow Environment: Architecture and Applications
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    Chapter 21 Java CoG Kit Workflow
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    Chapter 22 Workflow Management in Condor
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    Chapter 23 Pegasus: Mapping Large-Scale Workflows to Distributed Resources
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    Chapter 24 ICENI
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    Chapter 25 Expressing Workflow in the Cactus Framework
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    Chapter 26 Sedna: A BPEL-Based Environment for Visual Scientific Workflow Modeling
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    Chapter 27 ASKALON: A Development and Grid Computing Environment for Scientific Workflows
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    Chapter 28 Looking into the Future of Workflows: The Challenges Ahead
Overall attention for this book and its chapters
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1 Wikipedia page

Citations

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319 Dimensions

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169 Mendeley
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Title
Workflows for e-Science
Published by
Springer London, December 2006
DOI 10.1007/978-1-84628-757-2
ISBNs
978-1-84996-619-1, 978-1-84628-519-6, 978-1-84628-757-2
Editors

Taylor, Ian J., Deelman, Ewa, Gannon, Dennis B., Shields, Matthew

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 169 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 4%
United Kingdom 5 3%
Germany 3 2%
Netherlands 1 <1%
India 1 <1%
Australia 1 <1%
Italy 1 <1%
Argentina 1 <1%
Egypt 1 <1%
Other 2 1%
Unknown 146 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 43 25%
Researcher 33 20%
Student > Master 21 12%
Student > Doctoral Student 14 8%
Professor > Associate Professor 9 5%
Other 36 21%
Unknown 13 8%
Readers by discipline Count As %
Computer Science 109 64%
Engineering 9 5%
Agricultural and Biological Sciences 6 4%
Business, Management and Accounting 5 3%
Social Sciences 3 2%
Other 16 9%
Unknown 21 12%