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Dissertation Chapters | Computer Science & Engineering | India | Volume 4 Issue 7, July 2015
Secured Load Rebalancing for Distributed Files System in Cloud
Jayesh D. Kamble, Y. B. Gurav
Abstract: In cloud computing application, distributed file system is very core technology. The file system is used for node storage and performs many functionalities of computing applications, such applications is rely on the MapReduce programming and having a number of chunks that are allocated in each nodes. A node accepts the MapReduce program that performs in parallel. Failure of nodes may be recovered in cloud computing environment also replaced and added the nodes. In computing environment, it dynamically created, added, deleted or modified the files also in the nodes It results in load imbalance in a distributed file system, that is, the file chunks are not distributed correctly among all the nodes. This overall performance carried out in load rebalancing and that should be in distributed file system. But in cloud computing application dynamically load rebalancing is a challenging problem, so for this load rebalancing has the more efficiency that makes cloud computing more efficient and improves user satisfaction. It includes scalability, flexibility, fault tolerance, high availability, reduced overhead for users, reduced cost of ownership, on demand services etc. For load imbalance we proposed a secure and highly developed load rebalancing algorithm that merges with the RSA encryption algorithm. The appearance of showing result that performs the survey of distributed system in terms of security parameters for our proposed scheme. For our propose work we are implementing in distributed file system of the Hadoop which is help the progress of investigated the natural world for a cluster.
Keywords: Cloud Computing, MapReduce, HDFS, Security, Load Rebalancing
Edition: Volume 4 Issue 7, July 2015,
Pages: 1721 - 1725
How to Cite this Article?
Jayesh D. Kamble, Y. B. Gurav, "Secured Load Rebalancing for Distributed Files System in Cloud", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=SUB156753, Volume 4 Issue 7, July 2015, 1721 - 1725
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