Which scheduler would you deploy to ensure that your cluster allows short jobs to finish
within a reasonable time without starting long-running jobs?
A.
Complexity Fair Scheduler (CFS)
B.
Capacity Scheduler
C.
Fair Scheduler
D.
FIFO Scheduler
C
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C is correct answer.
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C.
“Fair scheduling is a method of assigning resources to jobs such that all jobs get, on average, an equal share of resources over time. When there is a single job running, that job uses the entire cluster. When other jobs are submitted, tasks slots that free up are assigned to the new jobs, so that each job gets roughly the same amount of CPU time. Unlike the default Hadoop scheduler, which forms a queue of jobs, this lets short jobs finish in reasonable time while not starving long jobs. It is also an easy way to share a cluster between multiple of users. Fair sharing can also work with job priorities – the priorities are used as weights to determine the fraction of total compute time that each job gets.”
https://hadoop.apache.org/docs/r1.2.1/fair_scheduler.html
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C
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C
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