Ebook: Workflows for e-Science: Scientific Workflows for Grids
- Tags: Computer Systems Organization and Communication Networks, Computer Communication Networks, Operating Systems, Input/Output and Data Communications, Special Purpose and Application-Based Systems, Algorithm Analysis and Problem Complexity
- Year: 2007
- Publisher: Springer-Verlag London
- Edition: 1
- Language: English
- pdf
Scientific Workflow has seen massive growth in recent years as science becomes increasingly reliant on the analysis of massive data sets and the use of distributed resources. The workflow programming paradigm is seen as a means of managing the complexity in defining the analysis, executing the necessary computations on distributed resources, collecting information about the analysis results, and providing means to record and reproduce the scientific analysis.
Workflows for e-Science presents an overview of the current state of the art in the field. It brings together research from many leading computer scientists in the workflow area and provides real world examples from domain scientists actively involved in e-Science. The computer science topics addressed in the book provide a broad overview of active research focusing on the areas of workflow representations and process models, component and service-based workflows, standardization efforts, workflow frameworks and tools, and problem solving environments and portals.
The topics covered represent a broad range of scientific workflow and will be of interest to a wide range of computer science researchers, domain scientists interested in applying workflow technologies in their work, and engineers wanting to develop workflow systems and tools. As such Workflows for e-Science is an invaluable resource for potential or existing users of workflow technologies and a benchmark for developers and researchers.
Scientific Workflow has seen massive growth in recent years as science becomes increasingly reliant on the analysis of massive data sets and the use of distributed resources. The workflow programming paradigm is seen as a means of managing the complexity in defining the analysis, executing the necessary computations on distributed resources, collecting information about the analysis results, and providing means to record and reproduce the scientific analysis.
Workflows for e-Science presents an overview of the current state of the art in the field. It brings together research from many leading computer scientists in the workflow area and provides real world examples from domain scientists actively involved in e-Science. The computer science topics addressed in the book provide a broad overview of active research focusing on the areas of workflow representations and process models, component and service-based workflows, standardization efforts, workflow frameworks and tools, and problem solving environments and portals.
The topics covered represent a broad range of scientific workflow and will be of interest to a wide range of computer science researchers, domain scientists interested in applying workflow technologies in their work, and engineers wanting to develop workflow systems and tools. As such Workflows for e-Science is an invaluable resource for potential or existing users of workflow technologies and a benchmark for developers and researchers.
Scientific Workflow has seen massive growth in recent years as science becomes increasingly reliant on the analysis of massive data sets and the use of distributed resources. The workflow programming paradigm is seen as a means of managing the complexity in defining the analysis, executing the necessary computations on distributed resources, collecting information about the analysis results, and providing means to record and reproduce the scientific analysis.
Workflows for e-Science presents an overview of the current state of the art in the field. It brings together research from many leading computer scientists in the workflow area and provides real world examples from domain scientists actively involved in e-Science. The computer science topics addressed in the book provide a broad overview of active research focusing on the areas of workflow representations and process models, component and service-based workflows, standardization efforts, workflow frameworks and tools, and problem solving environments and portals.
The topics covered represent a broad range of scientific workflow and will be of interest to a wide range of computer science researchers, domain scientists interested in applying workflow technologies in their work, and engineers wanting to develop workflow systems and tools. As such Workflows for e-Science is an invaluable resource for potential or existing users of workflow technologies and a benchmark for developers and researchers.
Content:
Front Matter....Pages i-xxi
Introduction....Pages 1-8
Scientific versus Business Workflows....Pages 9-16
Front Matter....Pages 17-17
Generating Complex Astronomy Workflows....Pages 19-38
A Case Study on the Use of Workflow Technologies for Scientific Analysis: Gravitational Wave Data Analysis....Pages 39-59
Workflows in Pulsar Astronomy....Pages 60-79
Workflow and Biodiversity e-Science....Pages 80-90
Ecological Niche Modeling Using the Kepler Workflow System....Pages 91-108
Case Studies on the Use of Workflow Technologies for Scientific Analysis: The Biomedical Informatics Research Network and the Telescience Project....Pages 109-125
Dynamic, Adaptive Workflows for Mesoscale Meteorology....Pages 126-142
SCEC CyberShake Workflows—Automating Probabilistic Seismic Hazard Analysis Calculations....Pages 143-163
Front Matter....Pages 165-165
Control- Versus Data-Driven Workflows....Pages 167-173
Component Architectures and Services: From Application Construction to Scientific Workflows....Pages 174-189
Petri Nets....Pages 190-207
Adapting BPEL to Scientific Workflows....Pages 208-226
Protocol-Based Integration Using SSDL and ?-Calculus....Pages 227-243
Workflow Composition: Semantic Representations for Flexible Automation....Pages 244-257
Virtual Data Language: A Typed Workflow Notation for Diversely Structured Scientific Data....Pages 258-275
Front Matter....Pages 277-277
Workflow-Level Parametric Study Support by MOTEUR and the P-GRADE Portal....Pages 279-299
Taverna/myGrid: Aligning a Workflow System with the Life Sciences Community....Pages 300-319
The Triana Workflow Environment: Architecture and Applications....Pages 320-339
Front Matter....Pages 277-277
Java CoG Kit Workflow....Pages 340-356
Workflow Management in Condor....Pages 357-375
Pegasus: Mapping Large-Scale Workflows to Distributed Resources....Pages 376-394
ICENI....Pages 395-415
Expressing Workflow in the Cactus Framework....Pages 416-427
Sedna: A BPEL-Based Environment for Visual Scientific Workflow Modeling....Pages 428-449
ASKALON: A Development and Grid Computing Environment for Scientific Workflows....Pages 450-471
Front Matter....Pages 473-473
Looking into the Future of Workflows: The Challenges Ahead....Pages 475-481
Back Matter....Pages 483-523
Scientific Workflow has seen massive growth in recent years as science becomes increasingly reliant on the analysis of massive data sets and the use of distributed resources. The workflow programming paradigm is seen as a means of managing the complexity in defining the analysis, executing the necessary computations on distributed resources, collecting information about the analysis results, and providing means to record and reproduce the scientific analysis.
Workflows for e-Science presents an overview of the current state of the art in the field. It brings together research from many leading computer scientists in the workflow area and provides real world examples from domain scientists actively involved in e-Science. The computer science topics addressed in the book provide a broad overview of active research focusing on the areas of workflow representations and process models, component and service-based workflows, standardization efforts, workflow frameworks and tools, and problem solving environments and portals.
The topics covered represent a broad range of scientific workflow and will be of interest to a wide range of computer science researchers, domain scientists interested in applying workflow technologies in their work, and engineers wanting to develop workflow systems and tools. As such Workflows for e-Science is an invaluable resource for potential or existing users of workflow technologies and a benchmark for developers and researchers.
Content:
Front Matter....Pages i-xxi
Introduction....Pages 1-8
Scientific versus Business Workflows....Pages 9-16
Front Matter....Pages 17-17
Generating Complex Astronomy Workflows....Pages 19-38
A Case Study on the Use of Workflow Technologies for Scientific Analysis: Gravitational Wave Data Analysis....Pages 39-59
Workflows in Pulsar Astronomy....Pages 60-79
Workflow and Biodiversity e-Science....Pages 80-90
Ecological Niche Modeling Using the Kepler Workflow System....Pages 91-108
Case Studies on the Use of Workflow Technologies for Scientific Analysis: The Biomedical Informatics Research Network and the Telescience Project....Pages 109-125
Dynamic, Adaptive Workflows for Mesoscale Meteorology....Pages 126-142
SCEC CyberShake Workflows—Automating Probabilistic Seismic Hazard Analysis Calculations....Pages 143-163
Front Matter....Pages 165-165
Control- Versus Data-Driven Workflows....Pages 167-173
Component Architectures and Services: From Application Construction to Scientific Workflows....Pages 174-189
Petri Nets....Pages 190-207
Adapting BPEL to Scientific Workflows....Pages 208-226
Protocol-Based Integration Using SSDL and ?-Calculus....Pages 227-243
Workflow Composition: Semantic Representations for Flexible Automation....Pages 244-257
Virtual Data Language: A Typed Workflow Notation for Diversely Structured Scientific Data....Pages 258-275
Front Matter....Pages 277-277
Workflow-Level Parametric Study Support by MOTEUR and the P-GRADE Portal....Pages 279-299
Taverna/myGrid: Aligning a Workflow System with the Life Sciences Community....Pages 300-319
The Triana Workflow Environment: Architecture and Applications....Pages 320-339
Front Matter....Pages 277-277
Java CoG Kit Workflow....Pages 340-356
Workflow Management in Condor....Pages 357-375
Pegasus: Mapping Large-Scale Workflows to Distributed Resources....Pages 376-394
ICENI....Pages 395-415
Expressing Workflow in the Cactus Framework....Pages 416-427
Sedna: A BPEL-Based Environment for Visual Scientific Workflow Modeling....Pages 428-449
ASKALON: A Development and Grid Computing Environment for Scientific Workflows....Pages 450-471
Front Matter....Pages 473-473
Looking into the Future of Workflows: The Challenges Ahead....Pages 475-481
Back Matter....Pages 483-523
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