• Pravin S. Patil
• Aniruddha P. Kshirsagar
• Rohini B.Kokare
• Ashvini Nikhade

Distributed File System constructs essential blocks in distributed computing dependent on Map Reduce programming overview. The nodes perform computation and storing operations. The input file is divided into specific amount of pieces. Generally, the nodes tends to fail when up gradation, replacement and addition operations take place in distributed file system. Due to this operations the files parallel are automatically modified which lets in load imbalance problem, proper distribution of file chunks are not possible in cloud DFS. In the server the load balancer arises with bottleneck issue. The system proposed framework sheds light on load re-balancing problem caused in DFS frameworks particular for designating the file chunks as consistently as conceivable among the storage nodes with the end goal that none of the storage node deals with an unreasonable number of file chunks. Specifically, the proposed system will include linear algorithm which will have a quick convergence rate. The proposed system will be including HDFS to maintain logs and set of data and will be analyzed by using big cluster.

DFS(Distributed file system),HDFS(Hadoop Distributed File System), Linear Programming, Load Balancing

"Load Balancing In Distributed File Systems Using Clouds", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.141-147, May-2019, Available :http://www.jetir.org/papers/JETIRBO06024.pdf

"Load Balancing In Distributed File Systems Using Clouds", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp141-147, May-2019, Available at : http://www.jetir.org/papers/JETIRBO06024.pdf