Dynamic data replication across geo-distributed cloud data centres

Abstract

Cloud computing is being used for data-intensive computing for enterprise and scientific applications that process large data sets originating from globally distributed data centers. In this work, we propose a system model for multiple data centers cooperating to serve a client’s request for data and to identify data centers which can provide the fastest response time to a client. Further, dynamic data replication strategy across geo-distributed data centers based on popularity is detailed. Simulation results are presented and the performance evaluation shows that our method consistently maintains the replica count to an optimal value.