Improving MapReduce Performance Using Smart Speculative Execution Strategy
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: 2014DOI: 10.1109/TC.2013.15
Keyword(s): cost-benefit analysis,moving average processes,parallel programming,pattern clustering,software performance evaluation,virtual machines,EWMA,MCP,MapReduce performance improvement,average progress rate,backup worker nodes,cluster load,cluster throughput,cost-benefit model,data locality,data skew,exponentially weighted moving average,job execution time,large-scale data processing,maximum cost performance,parallel computing framework,performance metrics,physical servers,proce
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Improving MapReduce Performance Using Smart Speculative Execution Strategy
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| contributor author | Qi Chen | |
| contributor author | Cheng Liu | |
| contributor author | Zhen Xiao | |
| date accessioned | 2020-03-12T18:21:23Z | |
| date available | 2020-03-12T18:21:23Z | |
| date issued | 2014 | |
| identifier issn | 0018-9340 | |
| identifier other | 6419699.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/955736 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Improving MapReduce Performance Using Smart Speculative Execution Strategy | |
| type | Journal Paper | |
| contenttype | Metadata Only | |
| identifier padid | 7987495 | |
| subject keywords | cost-benefit analysis | |
| subject keywords | moving average processes | |
| subject keywords | parallel programming | |
| subject keywords | pattern clustering | |
| subject keywords | software performance evaluation | |
| subject keywords | virtual machines | |
| subject keywords | EWMA | |
| subject keywords | MCP | |
| subject keywords | MapReduce performance improvement | |
| subject keywords | average progress rate | |
| subject keywords | backup worker nodes | |
| subject keywords | cluster load | |
| subject keywords | cluster throughput | |
| subject keywords | cost-benefit model | |
| subject keywords | data locality | |
| subject keywords | data skew | |
| subject keywords | exponentially weighted moving average | |
| subject keywords | job execution time | |
| subject keywords | large-scale data processing | |
| subject keywords | maximum cost performance | |
| subject keywords | parallel computing framework | |
| subject keywords | performance metrics | |
| subject keywords | physical servers | |
| subject keywords | proce | |
| identifier doi | 10.1109/TC.2013.15 | |
| journal title | Computers, IEEE Transactions on | |
| journal volume | 63 | |
| journal issue | 4 | |
| filesize | 1711597 | |
| citations | 0 |