Workflows for E-Science : Scientific Workflows for Grids

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. 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 π-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/ my Grid: 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.

This collection of articles on ‘Work?ows for e-Science'is very timely and - portant. Increasingly, to attack the next generation of scienti?c problems, multidisciplinary and distributed teams of scientists need to collaborate to make progress on these new ‘Grand Challenges'. Scientists now need to access and exploit computational resources and databases that are geographically distributed through theuseof high speed networks. ‘Virtual Organizations'or ‘VOs'must be established that span multiple administrative domains and/or institutions and which can provide appropriate authentication and author- ation services and access controls to collaborating members. Some of these VOsmayonlyhavea?eetingexistencebutthelifetimeofothersmayrun into many years. The Grid community is attempting to develop both sta- ards and middleware to enable both scientists and industry to build such VOs routinely and robustly. This, of course, has been the goal of research in distributed computing for many years; but now these technologies come with a new twist service orie- ation. By specifying resources in terms of a service description, rather than allowing direct access to the resources, the IT industry believes that such an approach results in the construction of more robust distributed systems. The industry has therefore united around web services as the standard technology toimplementsuchserviceorientedarchitecturesandtoensureinteroperability between di?erent vendor systems. This Is A Timely Book Presenting An Overview Of The Current State-of-the-art Within Established Projects, Presenting Many Different Aspects Of Workflow From Users To Tool Builders. It Provides An Overview Of Active Research, From A Number Of Different Perspectives. It Includes Theoretical Aspects Of Workflow And Deals With Workflow For E-science As Opposed To E-commerce. The Topics Covered Will Be Of Interest To A Wide Range Of Practitioners. Workflow is becoming extremely important within coarse-grained distributed system models for e-Science applications. This book presents an overview of the state of the art within established projects, presenting many different aspects of workflow from network users to tool builders. It aims to provide a broad overview of active research