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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dang Minh Quan Yang, L.T. |
| Copyright Year | 2009 |
| Abstract | Service Level Agreements (SLAs) are currently one of the major research topics in Grid Computing. Among many system components for supporting of SLA-aware Grid jobs, the SLA mapping module holds an important position. To find a mapping solution, the mapping algorithms have to search over a large search space. This situation leads to a compromise between the runtime of the algorithms and the quality of the mapping solutions. This paper presents a way of using parallelized mapping algorithms based on the proposed algorithms to improve the quality of the mapping solutions while maintaining the runtime of the mapping module. Performance measurements thereby deliver evaluation results showing the quality of the method. |
| Starting Page | 445 |
| Ending Page | 450 |
| File Size | 246923 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424435692 |
| DOI | 10.1109/CISIS.2009.26 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-03-16 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Weather forecasting Quality of service Information technology parallel processing Grid-based workflow Grid Computing Runtime Software quality Parallel processing Grid computing Software systems Competitive intelligence Resource management Service Level Agreement |
| Content Type | Text |
| Resource Type | Article |
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