OPTIMIZATION OF WORKLOAD PREDICTION BASED ON MAP REDUCE FRAME WORK IN A CLOUD SYSTEM

V.Sivaranjani, R.Jayamala

Abstract: Nowadays cloud computing is emerging Technology. It is used to access anytime and anywhere through the internet. Hadoop is an open-source Cloud computing environment that implements the Googletm MapReduce framework. Hadoop is a framework for distributed processing of large datasets across large clusters of computers. This paper proposes the workload of jobs in clusters mode using Hadoop. MapReduce is a programming model in hadoop used for maintaining the workload of the jobs. Depend on the job analysis statistics the future workload of the cluster is predicted for potential performance optimization by using genetic algorithm.

Keywords: Cloud computing, Hadoop Framework, MapReduce Analysis, Workload

DOI: https://doi.org/10.15623/ijret.2014.0303049