Improving Execution Time of Tasks Using a Hybrid Evolutionary Algorithm Based on Balanced Ant Colony Optimization
Sobhan Esmaeili * PhD of IT- Computer Networks, University of Tehran
Abstract: Grid is a new technology and a distributed and parallel system the aim of which is to share resources including processor, hard disk, software etc. in a dynamic, heterogeneous, and large-scale environment. This sharing is mainly employed to solve problems like computational problems academic and industrial settings. Timing and load balancing are two major aspects in grid. Therefore, in this study it has been attempted to While investigating timing algorithms that are recently expressed in global grid, a hybrid evolutionary algorithm based on balanced ant colony optimization with a better performance relative to other was proposed algorithms, was presented to improve execution time of tasks in global grid.
Keywords: Global Grid, Timing of Task, Clustering, Optimization
Corresponding Author: PhD of IT-Computer Networks-University of Tehran Email:
[email protected]
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