Abstract

Cloud Computing is an emerging technology, it is based on demand service in which shared resources, information, software and other devices are provided according to the clients to the requirements at specific time with the availability of internet. Load balancing is one of the challenging issue in cloud computing. An efficient load balancing makes cloud computing more efficient and improves user satisfaction. It includes fault tolerance, high availability, scalability, flexibility, reduced overhead for users, reduced cost of ownership, on demand services etc. Distributed file systems are key building blocks for cloud computing applications based on the Map Reduce programming paradigm. In such file systems, nodes at the same time serve computing and storage functions. Files can be created, deleted, and appended dynamically. This results in load imbalance in a distributed file system; that is, the file chunks are not distributed uniformly as possible among the nodes.

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