An evaluation optimization approach of iaas resource distribution based on genetic algorithm

被引：0

作者：

Fu, Hongxia ^{[1
]}

Zhou, Xiangbing ^{[1
,2
]}

机构：

[1] Department of Computer Science, Aba Teachers College, Weichuan Sichuan, 623002, China

[2] School of information Science and Technology, Chengdu University of Technology, Chengdu Sichuan, 610059, China

来源：

Journal of Theoretical and Applied Information Technology | 2012年 / 46卷 / 01期

关键词：

Infrastructure as a service (IaaS) - Resource allocation;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

In cloud computing, IaaS (Infrastructure as a Service) is the foundation of cloud service applications. It enables problems like resource allocation scheduling and bearing capacity to be further optimally solved. Therefore, a genetic optimized IaaS resource optimization evaluation approach is presented. This approach abstractly defines its 7 factors (properties) including usability of server, network performances, load balancing, anomaly notification mechanism, response time support, trusted security and measure payment, and explains quantitative calculation and expressions of each factor. And finally, tested by CloudSim, this approach is indicated to be feasible and effective for resource allocation. © 2005 - 2012 JATIT & LLS. All rights reserved.

引用

页码：103 / 107

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