A Secure High Performing Cloud Using Load Rebalancing Technique in Distributed File System

Provided by: ISR JOURNALS
Topic: Cloud
Format: PDF
Map Reduce programming paradigm plays a vital role in the development of cloud computing application using the Distributed file system where nodes concurrently provide computing as well as storage functions. Initially a file is partitioned into number of chunks allocated into different nodes so that Map Reduce technique can be performed in the nodes. Since cloud computing is a dynamic environment upgrading, replacing and adding new nodes to the environment is a frequent concern. This confidence is obviously insufficient in a large-scale, failure-prone atmosphere since the central load balancer is put under significant workload that is linearly scaled with the structure of the system range, and may lead to a performance bottleneck the single point of failure.

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