Role of MapReduce in Distributed Cloud Migration to Strengthen the Efficiency of Data Sharing for Large Data

Abstract

In recent years cloud computing plays a vital role in data exchange among cloud centers of organizations or from clients to cloud server. At each cloud center large volume of data was stored, which interns difficult to store and retrieve information from it. While migrating the data there are some issues like low data transfer rate, end to end latency issues and data storage issues will occur. As data was distributed among so many cloud centers from single source, will reduces the speed of migration. In distributed cloud computing it is very difficult to transfer the data with accuracy by means of speed and time. So in this paper we introducing the concept of MapReduce within the distributed cloud architecture where MapReduce assists at each cloud. It strengthens the data migration process with the help of HDFS. Compared to existing cloud migration approach the proposed approach gives accurate results interns of speed, time and efficiency.