Secure and Privacy-Preserving Distributed File Systems on Load Rebalancing in Cloud Computing

Distributed file systems in cloud computing because Google File System GFS and Hadoop Distributed file systems HDFS scheduled central servers in the direction of manage and load balancing in the metadata. Enabling technology for largescale computation for big data Originated by Google. Open source implementation by Yahoo and Facebook. Distributed file systems DFS are keys structure block for cloud computing application based on the shrink programming. In this file system swelling at the same time storage functions and grant computing, a file submerge into a number of parts billed in specifically nodes therefore, particulars Reduce functions can be execute in parallel to all the systems. In this cloud computing environment, crash standard and the nodes may be replaced, updated and added in the system. Files are also dynamically created, append and delete. These consequences in load imbalance in a distributed file system, person’s files parts are not dispersed in the same way as much as probable between the nodes mounting distributed file systems in manufacture systems stretched are based on the central node for the part transport. This depended is it appears that inaccurate in a large scale and failure chances locations since there will be alive central load is put beneath a important level workload that is simple level by means of system size and may consequently become the management prevention and the single point of failure. A fully complete load rebalancing algorithm is exhibited to cope with the load rebalance trouble. In proposed system sending the files separated different parts of files using load rebalancing and Data Encryption Stranded DES algorithm behind stored into clouds. Keywords— load balancing , Distributed file systems , clouds