Architecture for Hadoop Distributed File Systems

The Hadoop Distributed File System (HDFS) is designed to store very large data sets reliably, and to stream those data sets at high bandwidth to user applications. In a large cluster, thousands of servers both host directly attached storage and execute user application tasks. By distributing storage and computation across many servers, the resource can grow with demand while remaining economical at every size. In this paper focused on the backend architecture and working of the parts of the hadoop framework which are the map reduce for the Computational and analytics section and the Hadoop distributed file system (HDFS) for the storage section and how the files are shared in the distributed environment.