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Cheng et al., 2014 - Google Patents

Improving mapreduce performance in heterogeneous environments with adaptive task tuning

Cheng et al., 2014

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Document ID
9216950127102925066
Author
Cheng D
Rao J
Guo Y
Zhou X
Publication year
Publication venue
Proceedings of the 15th International Middleware Conference

External Links

Snippet

The deployment of MapReduce in datacenters and clouds present several challenges in achieving good job performance. Compared to in-house dedicated clusters, datacenters and clouds often exhibit significant hardware and performance heterogeneity due to continuous …
Continue reading at ranger.uta.edu (PDF) (other versions)

Classifications

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    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5061—Partitioning or combining of resources
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F9/4843—Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F11/00—Error detection; Error correction; Monitoring
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    • G06F11/3409—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation; Recording or statistical evaluation of user activity, e.g. usability assessment for performance assessment
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