Researching on Dynamic Management of Data Replicas of Cloud Computing in Heterogeneous Environments
A dynamic management model of data replicas of cloud computing in heterogeneous environments,DMDR,is presented and aims at the deficiencies of current HDFS that the number of data replicas is fixed and the placing policy of data replicas does not consider the node heterogeneity.When placing the data replicas,DMDR selects the optimal nodes according to the nodes' performance.Based on the gray prediction technology,DMDR predicts the data accessing frequency and dynamically adjusts the number of replicas according to the characters of data accessing.The experimental results show that in heterogeneous resource environments,compared w ith current HDFS,DMDR reduces the amount of data transferring,improves the load balance,and degrades the job finish time.