Abstracto

An Improved Dynamic Data Replica Selection and Placement in Hybrid Cloud

A.Rajalakshmi, D.Vijayakumar, Dr. K .G. Srinivasagan

Cloud computing platform is getting more and more attentions as a new trend of data management. Data replication has been widely used to speed up data access in cloud. Replica selection and placement are the major issues in replication. In this paper we propose an approach for dynamic data replication in cloud. A replica management system allows users to create, register and manage replicas and update the replicas if the original datasets are modified. The proposed work concentrates on designing an algorithm for suitable optimal replica selection and placement to increase availability of data in the cloud. Replication aims to increase availability of resources, minimum access cost, shared bandwidth consumption and delay time by replicating data. Our approach based on dynamic replication that adapts replica creation continuously changing network connectivity and users. The proposed systems developed under the Eucalyptus cloud environment. The results of proposed replica selection algorithm achieve better accessibility compared with other methods.