IJMTES – CLUSTER FORMATION BASED ON MAPREDUCE TECHNIQUE APPLIED IN CLOUD ENVIRONMENT FOR RESOURCE MANAGEMENT SYSTEM

Journal Title : International Journal of Modern Trends in Engineering and Science

Paper Title : CLUSTER FORMATION BASED ON MAP REDUCE TECHNIQUE APPLIED IN CLOUD ENVIRONMENT FOR RESOURCE MANAGEMENT SYSTEM

Author’s Name : J Keerthikaunnamed

Volume 04 Issue 03 2017

ISSN no:  2348-3121

Page no: 73-76

Abstract – CLOUD computing shows a work of fiction way to supplement the current utilization and delivery model for IT services based on the Internet, by providing for dynamically scalable and often virtualized resources as a service over the Internet. We tackle the problem of dynamic resource management for a large-scale cloud environment. We honor the resource Share problem as that of dynamically maximizing the cloud utility under CPU and memory Constriction. We extend gossip protocol and map reduce framework to provide an efficient heuristic solution for the complete problem, which includes minimizing the cost for dynamic adapting a Share. The protocol continuously executes on dynamic, local input and does not require global synchronization. We propose architecture to allocate resources to a Map Reduce cluster in the Cloud. In Map Reduce, the Map  function process the input in the form of key/value pairs to generate intermediate key/value pairs, and the Reduce function process  all intermediate values associated with the same intermediate key generated by the Map function. In heterogeneous environments where the time to process a task varies depending on nodes, it is sometimes better to pick a remote task that runs faster on the node. Hence, we need to consider both the time required to read and the time needed to process the data, to pick the best task for the node. We achieve a metric of share in a heterogeneous cluster to realize a scheduling scheme that achieves high Concert and Fairness.

KeywordsCloud Computing, Distributed Management, Re-source Share, Gossip Protocols

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