Hybrid task scheduling algorithm in grid

被引：0
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作者：
Information School, Central University of Finance and Economics, Beijing 100081, China [1 ]
不详 [2 ]
机构：
来源：
J. Donghua Univ. | 2006年 / 6卷 / 84-86+92期
关键词：
Genetic algorithms - Optimization - Parallel programming;
D O I：
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学科分类号：
摘要：
Task scheduling in Grid has been proved to be NP- complete problem. In this paper, to solve this problem, a Hybrid Task Scheduling Algorithm in Grid (HTS) has been presented, which joint the advantages of Ant Colony and Genetic Algorithm. Compared with the related work, the result shows that the HTS algorithm significantly surpasses the previous approaches in schedule length ratio and speedup.
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