Access Time Optimization in Data Replication

Cloud computing provides storage for multiple users to store and share their data in different places. In Cloud computing, Datacenter plays a requisite role in storing a vast amount of data. At the time of discrepancies, access to large data sets of is very difficult. Hence, Data Replication is preferred in handling the huge volumes of data (i.e.) the necessary files are replicated and stored in nearby locations of users which reduces the execution time and ensures data availability. The proposed Dynamic Popularity aware Data Replication algorithm accelerates the data access time by reducing the latency.