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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhaohui Ding Xiaohui Wei Yifan Zhu Yaoguang Yuan Li, W.W. Tatebe, O. |
| Copyright Year | 2008 |
| Description | Author affiliation: Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun, China (Zhaohui Ding; Xiaohui Wei; Yifan Zhu; Yaoguang Yuan) || Center for Comput. Sci., Univ. of Tsukuba, Tsukuba, Japan (Tatebe, O.) || Nat. Biomed. Comput. Resource, Univ. of California, San Diego, San Diego, CA, USA (Li, W.W.) |
| Abstract | Grid computing technology is able to integrate and share large-scale distributed computation and data resource to facilitate the scientific researches. Recently, the grid workflow support and large-scale distributed data management are becoming two main requirements of scientists and researchers in many fields, such as bioinformatics, high-energy physics etc. In this paper, we proposed to support grid workflow for data intensive applications using CSF4 scheduling plug-ins. The grid workflow scheduling and data aware scheduling policies are implemented in two scheduling plug-ins, grid workflow plug-in and grid data aware plug-in, respectively. The two scheduling plug-ins can work together smoothly. The data aware plug-in will automatically dispatch the workflow tasks to the grid sites which are close to data replicas. At last, the experiment results are given to show the improvement of system performance and optimization of scheduling. |
| Starting Page | 563 |
| Ending Page | 569 |
| File Size | 401081 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781424433803 |
| DOI | 10.1109/eScience.2008.34 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-12-07 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | CSF4 grid workflow data intensive Biomedical computing Distributed computing Engines Processor scheduling System performance plugin scheduling Grid computing Computer networks Large-scale systems Bioinformatics Workflow management software |
| Content Type | Text |
| Resource Type | Article |
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