A Relative Study on Task Schedulers in Hadoop MapReduce
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چکیده
Hadoop is a framework for BigData processing in distributed applications. Hadoop cluster is built for running data intensive distributed applications. Hadoop distributed file system is the primary storage area for BigData. MapReduce is a model to aggregate tasks of a job. Task assignment is possible by schedulers. Schedulers guarantee the fair allocation of resources among users. When a user submits a job, it will move to a job queue. From the job queue, job will be divided into tasks and distributed to different nodes. By the proper assignment of tasks, job completion time will reduce. This can ensure better performance of the job. In this paper we study different default and extended task schedulers in Hadoop MapReduce. Keywords— Hadoop, HDFS, MapReduce, Scheduling, FIFO, Fair, Capacity
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تاریخ انتشار 2013