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Adaptive job Scheduling for Computational Grid based on Ant Colony Optimization with Genetic Parameter Selection

Author(s): Saurabh Mandloi, | Hitesh Gupta

Journal: International Journal of Advanced Computer Research
ISSN 2249-7277

Volume: 3;
Issue: 9;
Start page: 66;
Date: 2013;
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Keywords: Grid computational | meta - heuristic | ANT - GA

emand of new generation of internet technologyapplieda distributed process of computing forservice providing and resource allocation. Theservice and resource allocation needed acomputational grid for task processing.Computational grid manages a process of resourceand task allocation process. The allocation ofresource and task effect the performance of gridmechanism. For the scheduling of task andresource for computational grid used a queuingprocess model such as first come first servedprocess. But the performance of this model is veryimpartial, now various authors and researchersused a process of efficient searching technique forjob allocation such as heuristic and meta-heuristicimproved the performance of computational grid.But the uncontrolled nature of meta-heuristic suchas ant colony optimization degraded theperformance of grid allocation. In this paper we
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