Improved Ant Colony Algorithm on Scheduling Optimization of Cloud Computing Resources

被引：1
|
作者：
Hu, Xiaoxi [1 ]
Zhou, Xianwei [1 ]
机构：
[1] Univ Sci & Technol Beijing, Sch Comp & Commun Engn, Beijing 100083, Peoples R China
来源：
ADVANCES IN MECHATRONICS AND CONTROL ENGINEERING III | 2014年 / 678卷
关键词：
Ant colony algorithm; Cloud computing resource; Scheduling optimization;
D O I：
10.4028/www.scientific.net/AMM.678.75
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
To address the problem of high occupancy of resources and slow response of current scheduling of cloud computing resources, this paper proposes a scheduling optimization algorithm based improved ant colony algorithm. It makes resource reservation through migration of virtual machine, uses dynamic trend prediction algorithm to forecast the load changes of data center, and puts forward the concrete complement to adjust reduction. Experiments show that the combination algorithm proposed in this paper are efficient to improve the performance of data center, accelerate the response speed and increase the precision.
引用
收藏
页码：75 / 78
页数：4
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