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Please use this identifier to cite or link to this item:
http://hdl.handle.net/2080/1538
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| DC Field | Value | Language |
| contributor.author | Chandak, A | - |
| contributor.author | Sahoo, Bibhudatta | - |
| contributor.author | Turuk, A K | - |
| date.accessioned | 2011-10-11T12:11:10Z | - |
| date.available | 2011-10-11T12:11:10Z | - |
| date.issued | 2011-09 | - |
| identifier.citation | International Journal of Computer Applications (0975 – 8887), Volume 29– No.9, September 2011 | en |
| identifier.issn | 0975 - 8887 | - |
| identifier.uri | http://hdl.handle.net/2080/1538 | - |
| description | Copyright for this article belongs to Foundation of Computer Science, USA | en |
| description.abstract | A grid provides abundant resources to the grid users. Task scheduling is a fundamental issue in grid computing. The objective of task scheduling is to allocate required resources to user request. Grid application that requires fast task execution does not perform well since tasks are assigned according to node availability not according to node computing capability. In this
paper, we discussed adaptive resource clustering architecture that virtually grouping same computing capability nodes based on the number and resource requirement of tasks so that task
execution becomes faster. In this paper, we evaluate the performance of adaptive clustering with static and without clustering of resources and task are schedule by Max-Min, Min- Min, FCFS heuristics and simulation results shows that our
architecture outperforms in makespan and success execution rate of tasks. | en |
| format.extent | 574593 bytes | - |
| format.mimetype | application/pdf | - |
| language.iso | en | - |
| publisher | Foundation of Computer Science, USA | en |
| subject | Task Scheduling | en |
| subject | Adaptive Resource Clustering | en |
| subject | Task Clustering | en |
| subject | Success Execution Rate | en |
| title | Performance Analysis of Adaptive Resource Clustering in Grid | en |
| type | Article | en |
| Appears in Collections: | Journal Articles
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Files in This Item:
| File |
Description |
Size | Format |
| IJCA 29(9).pdf | | 561Kb | Adobe PDF | View/Open |
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