A Performance-Satisfied and Influence-Aware MapReduce Allocation Scheme for Cloud Computing Systems
碩士 === 輔仁大學 === 資訊工程學系碩士班 === 105 === MapReduce can speed up the execution of an application (job) with big data by dividing the job into a number of map and reduce tasks in cloud computing systems. There are many MapReduce jobs concurrently running in the systems. It is required to efficiently al...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2017
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| Online Access: | http://ndltd.ncl.edu.tw/handle/65859497199976921883 |