Cloud Data Migration Method Based On PSO Algorithm
Cloud storage system can play an important role in large-scale,and it supports high-performance cloud applications.To cloud storage systems,data migration is key technology to realize the nodes dynamically extensible and elastic load balancing.How to reduce migration cost of time is the problem that cloud service providers need to solve.Existing research efforts were focused on the data migration issues under the non-virtualized environments,which often do not applicable to cloud storage systems.In response to these challenges,we put data migration issues into the loadbalancing scenarios to solve.We propose an algorithm based on particle swarm optimization algorithm which can reduces the cost of time.In the experiment,we can use Yahoo services benchmarking YCSB tool which could verify the validity of the method.It is a test framework designed to help users understand the different cloud computing,database performance.
Cloud data Data migration PSO algorithm Load balance
Geng Yushui Yuan Jiaheng
School of Information Qilu University Of Technology Ji Nan,China
国际会议
贵阳
英文
143-146
2015-08-18（万方平台首次上网日期，不代表论文的发表时间）