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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/80470
- Title
- A data stream view for scientific workflow
- Author(s)
- Yang, Chi; Chen, Jinjun
- Abstract
- e-Science is a buzz word when it comes to connecting different kinds of sciences and communities with each other to share scientific interests, data, and research results. This connection is the trend of scientific and technological development that augurs a rapid increase in the number of computations being employed by e-scientists. Consequently, scientific workflow, a new special type of workflow often underlying many large-scale complex e-science applications such as climate modeling, structural biology and chemistry, medical surgery, or disaster recovery simulation, deserves intensive investigation. Compared with business workflows, scientific workflow has special features such as computation, data or transaction intensity, less human interaction, and a large number of activities. Some emerging computing infrastructures such as grid computing, with powerful computing and resource sharing capabilities, present the potential for accommodating those special features. Some work both theoretically and empirically has been done toward this research frontier such as GredbusWorkflow, Kepler, Taverna, and SwinDeW-G series. Each piece of work highlights different aspects of scientific workflow with different emphasis. However, the research of scientific workflow management is still at its early stage in terms of issues to be solved and its development history. Furthermore, due to the wide application of the scientific workflow, the underlying environments vary from one to the other. All of the above problems with the scientific workflow give a new platform for people from the business process management community to investigate.
- Publication type
- Book chapter
- Research centre
- Swinburne University of Technology. Faculty of Information and Communication Technologies. Centre for Information Technology Research
- Source
- Grid computing: infrastructure, service and applications / Lizhe Wang, Wei Jie and Jinjun Chen (eds.), Chapter 9, pp. 223-251
- Publication year
- 2009
- FOR Code(s)
- 080399 Computer Software not elsewhere classified; 080501 Distributed and Grid Systems; 080699 Information Systems not elsewhere classified
- Keyword(s)
- E-science; Workflow management
- Publisher
- CRC Press
- ISBN
- 9781420067668, 1420067664
- Publisher URL
- http://www.crcpress.com/product/isbn/9781420067668
- Copyright
- Copyright © 2009 by Taylor & Francis Group, LLC.
- Peer reviewed



