A Dynamic Slot Configuration On Multiple Hadoop Clusters

Authors

  • Ms.Varsha Nilugal P.G.Student Department of Computer science and engineering UBDT College of Engineering, Davanagere
  • Prof.ANITHA G B.E,M.E Associate Professor Department of Computer science and engineering UBDT College of Engineering, Davanagere

Keywords:

MapReduce jobs, Hadoop scheduling, reduced makespan, slot configuration

Abstract

The task assigned and requested for resource monitor is fetched and successfully retrieved from the pool and thus the overall
system is typically under the homogeneous environment. This in this thesis, we have designed and developed a dedicated approach
cum technique for self-slot configuration of task under the Hadoop single line clusters for the heterogeneous request. The system also
featured with the overall benefit and analysis of the job architecture in retrieving and processing the jobs requested and searched. The
proposed system is more reliable and has higher performance gain in terms of time and the duration of elapsed delay under
processing. Hence the system alignment is successfully reterivd and performed for gaining high order of tasking ratio.

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Published

2016-06-25

How to Cite

Ms.Varsha Nilugal, & Prof.ANITHA G B.E,M.E. (2016). A Dynamic Slot Configuration On Multiple Hadoop Clusters. International Journal of Advance Research in Engineering, Science & Technology, 3(6), 107–117. Retrieved from https://ijarest.org/index.php/ijarest/article/view/782

Issue

Vol. 3 No. 6 (2016): Volume: 03, Issue: 06 - June, 2016.

Section

Articles