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In cloud computing, the replication management system has been well adopted in cloud storage applications. To provide the availability and reliability, the replication system replicates the files and can be stored in different server. The system led some complicated issues such as high memory consumption, incurred high storage cost and to access the file is more complicated issues in recent cloud storage applications. In the existing technique, File Accessing Frequency based Ranking (FAFR) Algorithm and Dynamically Reduced Replica for Rarely Accessed files (DRRRA) algorithm work jointly and identify the rarely accessed files and retain the replica in two server other replicated files are deleted. To provide access to more request with 2 or 3-replica is a complicated issue. Thus, this paper proposes a Dynamic replica Creation for Availability enhanced Storage (DRCAES) algorithm which jointly work with FAFR algorithm to predict most frequently accessed files and automatically replicated to other server based on server memory. The aim of this proposed approach is to enhance the availability, thereby reducing the request-response delay time. Thus the proposed approach optimizes the number of replicas, occupied space, and cost.

Popularity (Hit Rate) Based Replica Creation for Enhancing the Availability in Cloud Storage