A PGSA Based Data Replica Selection Scheme for Accessing Cloud Storage System

The data replica management scheme is a critical component of cloud storage system. In order to enhance its scalability and reliability at the same time improve system response time, the multiple data replica scheme is adopted. When a cloud user issues an access request, a suitable replica should be selected to respond to it in order to shorten user access time and promote system load balance. In this paper, with network status, storage node load and historical information of replica selection considered comprehensively, a PGSA (Plant Growth Simulation Algorithm) based data replica selection scheme for cloud storage is proposed to improve average access time and replica utilization. The proposed scheme has been implemented based on CloudSim and performance evaluation has been done. Simulation results have shown that it is both feasible and effective with better performance than certain existent scheme. © Springer-Verlag Berlin Heidelberg 2014