Improving Data Transfer Rate and Throughput of HDFS using Efficient Replica Placement

In last half decade, there is tremendous growth in the network applications; we are experiencing an information explosion era. Due to which large amount of distributed data being managed and stored. To handle these types of data, application uses distributed file system. Advantages of DFS are increased availability and efficiency. Generally some parameters like scalability, reliability, transparency, fault tolerance and security are considered while making DFS. Some open challenges are still there in DFS like fault tolerance in various conditions, optimized architecture of DFS, Synchronization, consistency and replications. Goal of this paper is study evolution of DFS from the history; current state of the art design & implementation of the DFS and propose new approach for efficient replica placement in Hadoop DFS which can improve throughput and data transfer rate.