Research of Grid Resource Scheduling Based on Improved Ant Colony Algorithm

被引：0
|
作者：
Liu, Dan [1 ]
Ma, Shi-xia [1 ]
Guo, Zu-hua [1 ]
Wang, Xiu-lan [1 ]
机构：
[1] Henan Mechan & Elect Engn Coll, Dept Comp Sci, Xinxiang, Henan, Peoples R China
来源：
INFORMATION COMPUTING AND APPLICATIONS, PT 2 | 2012年 / 308卷
关键词：
Resource Scheduling; Ant Colony Algorithm; Pheromone;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The efficiency of present grid resource scheduling strategy is low, which makes the speed of resource scheduling slow. A grid resource scheduling algorithm based on improved ant colony algorithm was proposed to solve the problem in this paper. This algorithm took the feedback suggestion after resource scheduling as the basis for updating successive resource. At the same time, the algorithm designed the local pheromone updating mechanism. These pheromones would be used as the basis for performing successive task and provided with optimal path for performing successive task. The experimental results show that the algorithm not only has a better scheduling performance, but also improve the efficiency of scheduling so as to reduce the time of resource scheduling.
引用
收藏
页码：480 / 487
页数：8
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