Two phase enhancing replica selection in cloud storage system
Meng Xue, Jianjing Shen, Xiaofeng Guo · 2016
Data replica selection is an important issue in the cloud storage system, which has been widely studied. The local cache file is an effective method to reduce the file request time. To solve local cache methods' superabundant consumption of hard disk space and tackle user's various QoS preference, we proposed a dynamic intelligent replica selection algorithm (named 2PhaseEnhencing algorithm) which reduce file request time in two phases. The proposed algorithm reduce catalog search time in the first phase using a local file that records the historical file request of each user and select the best site with highest score according to user's QoS and the context of the network in the second phase. The simulation experiment in cloudsim conclusively demonstrate the proposed algorithm can efficiently reduce file average request time versus two traditional methods.