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MapReduce is a programming model that defines a MapReduce job for instance, a map perform task then reduce perform task. This model splits the job into several map perform tasks and reduce perform tasks at run time. It also accomplishes these tasks in parallel on a MapReduce cluster. We have researched a resourceful and appropriate scheduling scheme called as hybrid job-driven scheduling scheme (JoSS) which source higher map and reduce data-locality. But, in this existing JoSS schedulingdoi:10.26483/ijarcs.v8i9.5210 fatcat:4riinqfyn5glrkz6s4vsenyv3q