Optimizing cost and performance trade-offs for MapReduce job processing in the cloud

NOMS, pp. 1-8, 2014.

Cited by: 27|Views15
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Abstract:

Cloud computing offers a new, attractive option to customers for provisioning a suitable size Hadoop cluster, consuming resources as a service, executing the MapReduce workload, and paying for the time these resources were used. One of the open questions in such environments is the choice and the amount of resources that a user should lea...More

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