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Volume : XIV, Issue : II, March - 2024

COMBINING AND SCHEDULING TECHNIQUES FOR IMPROVING JOB EXECUTION IN HADOOP CLUSTERS

Deepa Rudrakshi D/O Gurusiddappa, Dr. Shashi

By : Laxmi Book Publication

Abstract :

Efficient job execution in Hadoop clusters is a critical challenge due to the large-scale data processing demands and resource constraints of distributed systems.

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Cite This Article :

Deepa Rudrakshi D/O Gurusiddappa, Dr. Shashi(2024). COMBINING AND SCHEDULING TECHNIQUES FOR IMPROVING JOB EXECUTION IN HADOOP CLUSTERS. Indian Streams Research Journal, Vol. XIV, Issue. II, http://isrj.org/UploadedData/11707.pdf

References :

  1. Gautam, Jyoti V. “Empirical Study of Job Scheduling Algorithms in Hadoop MapReduce.” Cybernetics and Information Technologies, vol.
  2. Guru Prasad M. S., Nagesh H. R., and Swathi Prabhu. “Performance Analysis of Schedulers to Handle Multi Jobs in Hadoop Cluster.”

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