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Evolutionary Heuristic for Job Scheduling using Grid Computing
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 120 - Number 15 |
| Year of Publication: 2015 |
| Authors: Japinder Kaur, Mehak Naib |
10.5120/21304-4072
|
Japinder Kaur, Mehak Naib . Evolutionary Heuristic for Job Scheduling using Grid Computing. International Journal of Computer Applications. 120, 15 ( June 2015), 22-24. DOI=10.5120/21304-4072
Abstract
Grid is a compilation of huge number of assorted, disseminated, decentralized and energetic resources. Grid computing is a kind of disseminated computing that coordinate and provide the facility of resource sharing on dissimilar environmental location. Resource scheduling in Grid computing is a difficult task due to the heterogeneous and dynamic nature of the resources. This paper includes the comparison of different heuristic approach in grid computing. The presentation of the planned algorithms is evaluated using the GridSim toolkit. The paper reveal the difficulty of the scheduling trouble in Computational Grids when compare to scheduling in standard parallel and distributed systems and show the effectiveness of heuristic and meta-heuristic approaches for the design of efficient Grid scheduler
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