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A Novel Priority Based Hadoop Energy Efficient Job Scheduling and Migration Technique with Multi Level Queue on YARN Scheduler
2019
Helix
The process or the framework for MapReduce works in two parts as Mapper and Reducer. The reducer algorithm analyzes the input from the tasks characteristics and generate recommendations for the applicable allocation of the work and the mapper algorithm analyses the perfect or the best fit for the task or the programming running on the Hadoop clusters. The primary challenge is to manage the migration of the virtual machines to make these arrangements suitable to the Hadoop scheduling
doi:10.29042/2019-4864-4869
fatcat:pqu7nzxwanahtiaq3s3fgz6bji