Cloud testing scheduling based on improved ACO

被引：0
|
作者：
Zheng, Yang [1 ,2 ]
Cai, Lizhi [2 ,3 ]
Huang, Shidong [4 ]
Lu, Jiawen [1 ]
Liu, Pan [5 ]
机构：
[1] E China Univ Sci & Technol, Coll Informat Sci & Engn, Shanghai 200237, Peoples R China
[2] Shanghai Key Lab Comp Software Evaluating & Testi, Shanghai 201112, Peoples R China
[3] Shanghai Ind Technol Inst, Shanghai 201206, Peoples R China
[4] Xinyang Normal Univ, Dept Comp Sci & Technol, Xinyang 464000, Henan, Peoples R China
[5] Shanghai Business Sch, Coll Comp Engn & Sci, Shanghai 201400, Peoples R China
来源：
PROCEEDINGS OF THE 2015 INTERNATIONAL SYMPOSIUM ON COMPUTERS & INFORMATICS | 2015年 / 13卷
关键词：
Cloud; Cloud testing; VM; ACO; CloudSim;
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：
Resources scheduling plays an important role in Cloud testing. The completion time for the entire testing works in Cloud testing and the cost of Cloud services could both reduce a lot through good scheduling strategies. This paper mainly focuses on the dependencies between testing tasks and proposes ACO_TD(ACO based on testing task dependencies). ACO_TD not only possesses advantages of ACO, but also makes up shortcomings of ACO such as slow convergence and easy falling into local optimization CloudSim is used for simulation experiment, and ACO_TD has acquired faster execution speed and better load balancing of VM compared with RR, GA and ACO in experiment. The advantages of ACO_TD become more and more obvious as the scale of testing tasks in Cloud grows.
引用
收藏
页码：569 / 578
页数：10
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