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Title |
MapReduce Scheduler Using Classifiers for Heterogeneous Workloads |
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Author |
Visalakshi P, Karthik TU |
| Citation |
Vol. 11 No. 4 pp. 68-73 |
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Abstract |
Hadoop is a large-scale distributed processing infrastructure, designed to efficiently distribute large amounts of work across a set of machines. Scheduling of jobs or work is very important in order to achieve efficiency. The proposed work incorporates the design of a new scheduler that will not overload any TaskTracker at any time and thus preventing the unnecessary re-launch of tasks. The scheduler also classifies the job into CPU bound and IO bound. So, a balance is maintained between either of them |
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Keywords |
Hadoop, MapReduce, Scheduler, Heterogeneous |
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