Improving MapReduce Performance Using Smart Speculative Execution Strategy
ناشر:
سال
: 2014شناسه الکترونیک: 10.1109/TC.2013.15
کلیدواژه(گان): 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
کالکشن
:
-
آمار بازدید
Improving MapReduce Performance Using Smart Speculative Execution Strategy
Show full item record
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 |