Cost oriented virtualized resource optimization allocation for SBS

被引：0
作者：
School of Information Science & Engineering, Northeastern University, Shenyang [1 ]
110819, China
机构：
[1] School of Information Science & Engineering, Northeastern University, Shenyang
来源：
Dongbei Daxue Xuebao | / 7卷 / 929-932 and 941期
关键词：
Cloud computing; Cost optimization; Resource allocation; Service-based software system; Virtualization;
D O I：
10.3969/j.issn.1005-3026.2015.07.004
中图分类号：
学科分类号：
摘要：
When deploying applications in cloud environments, there are few researches on the optimal resource allocation for cloud applications described as service based software systems (SBS). To solve the problem, resource configuration (RC) was defined, and a method for identifying all the RCs of any component services was proposed. Based on this, the resource allocation for SBS was modeled as combination optimization of RCs, and a genetic algorithm (GA) with improved cross operator and mutation operator was presented to solve the optimization model. Effectiveness of the model was proved by the experiment results, and it was showed that the proposed GA converged fast. In addition, similar optimal solutions could be obtained by the GA with linear programing, and it was more efficiency to deal with larger problem. ©, 2015, Northeastern University. All right reserved.
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页码：929 / 932and941
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