Multi-objective Optimization for Data Placement Strategy in Cloud Computing

被引：0
|
作者：
Guo, Lizheng [1 ]
He, Zongyao [1 ]
Zhao, Shuguang
Zhang, Na
Wang, Junhao
Jiang, Changyun
机构：
[1] Henan Univ Urban Construct, Dept Comp Sci & Engn, Pingdingshan 467036, Peoples R China
来源：
INFORMATION COMPUTING AND APPLICATIONS, PT 2 | 2012年 / 308卷
关键词：
Cloud Computing; Particle Swarm Optimization; Multi-Objective Optimization; Data Placement; TASK ASSIGNMENT;
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：
In cloud computing, the data of processing and the data of transfering is charged at for the service of the provider. So, it is important to reduce the cost and to improve the performance for the consumer of the cloud computing. At present, the existing optimization algorithms only focus on one aspect, such as reducing the move of data, the processing time, the transferring time, the processing cost or the transferring cost. This paper makes a model for the multi-objective data placement and uses a particle swarm optimization algorithm to optimize the time and cost in cloud computing. The mode applied processors interaction graph to map the data of the task and the data center. The simulation experimental result manifests that the proposed method is more effective in time and cost.
引用
收藏
页码：119 / 126
页数：8
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