What is it about?
Hadoop-Map Reduce model supports several Job scheduling algorithms.
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Why is it important?
In Hadoop environment, different algorithms vary widely in design and behavior for handling different issues such as locality of data, user share fairness, and resource awareness. This article focuses on evaluating the performance of three schedulers: First In First Out (FIFO), Fair Scheduler, and Capacity Scheduler under various conditions. It provides insight on how various job scheduling parameters affect to the performance of these algorithms.
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This page is a summary of: Empirical Study of Job Scheduling Algorithms in Hadoop MapReduce, Cybernetics and Information Technologies, January 2017, De Gruyter,
DOI: 10.1515/cait-2017-0012.
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