| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 426018 | Future Generation Computer Systems | 2012 | 9 Pages |
Abstract
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.
► A novel method for dynamic task scheduling is introduced. ► Task scheduling is formulated as an optimization problem. ► Combined the merits of Genetic Algorithm and Bacteria Foraging optimization. ► The simulation result proves the superior performance with the proposed algorithm.
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Sasmita Kumari Nayak, Sasmita Kumari Padhy, Siba Prasada Panigrahi,