Research on Load Balance Strategy Based on Grey Prediction Theory in Cloud Storage
In the HDFS cloud storage environment,the existing replica strategy is not able to adopt the optimal replica according to the current system environment dynamically,which affects the performance of the Cloud Storage system.This paper aims at the replica selection strategies in the load balancing problem,proposes a Replica Strategy based on grey prediction theory in Cloud Storage and predicts the node load rate of different replicas at a moment,selecting the minimum load node dynamically,eventually to load balance.
cloud storage replica strategy load balance grey prediction theory
Yu Mao Jie Ling
Faculty of Computer,Guangdong University of Technology,Guangzhou,China
国际会议
沈阳
英文
199-203
2012-09-26（万方平台首次上网日期，不代表论文的发表时间）