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A novel algorithm for dynamic task scheduling
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DOI：10.1016/j.future.2011.12.001.png)
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Abstract
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This paper deals with the problem of dynamic task scheduling in grid environment of multi-processors. First, this paper formulates task scheduling as an optimization problem and then optimizes with a novel hybrid optimization algorithm. The proposed algorithm combines the merits of Genetic Algorithm and Bacteria Foraging optimization. The simulation result proves the superior performance with the proposed algorithm. (C) 2011 Elsevier B.V. All rights reserved.
Keywords:
Grid computing
Task scheduling
Genetic algorithms
Bacteria foraging optimization
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