A MACHINE LEARNING APPROACH FOR IMPROVED SCHEDULING IN HETEROGENEOUS HADOOP CLUSTER

• Author(s):

  Prof. Aihtesham N. Kazi | Dr. D.N.Chaudhari

• Keywords:

• Abstract:

  Today’s Most Popular Computer Applications And Internet Services To Millions Of Users Produce Large Volume Of Data At Server. Such Large Volume Of Data Services Work With Interest In Parallel Processing Of Commodity Clusters. A Big Data Processing Network

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Other Details

• Paper id:

  IJSARTV6I436398

• Published in:

  Volume: 6 Issue: 4 April 2020

• Publication Date:

  2020-04-19

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