【摘 要】
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Cloud computing environment is getting more in-teresting as a new trend of data management.Data replication has been widely applied to improve data access in di
【机 构】
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Department of Computer Science,Shahid Bahonar University of Kerman,Kerman 76169-14111,Iran;Mahani Ma
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Cloud computing environment is getting more in-teresting as a new trend of data management.Data replication has been widely applied to improve data access in distributed systems such as Grid and Cloud.However,due to the finite storage capacity of each site,copies that are useful for future jobs can be wastefully deleted and replaced with less valuable ones.Therefore,it is considerable to have appropriate replica-tion strategy that can dynamically store the replicas while sat-isfying quality of service(QoS)requirements and storage ca-pacity constraints.In this paper,we present a dynamic repli-cation algorithm,named hierarchical data replication strategy(HDRS).HDRS consists of the replica creation that can adap-tively increase replicas based on exponential growth or decay rate,the replica placement according to the access load and la-beling technique,and finally the replica replacement based on the value of file in the future.We evaluate different dynamic data replication methods using CloudSim simulation.Experi-ments demonstrate that HDRS can reduce response time and bandwidth usage compared with other algorithms.It means that the HDRS can determine a popular file and replicates it to the best site.This method avoids useless replications and decreases access latency by balancing the load of sites.
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