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Analyzing I/O patterns for the design of energy-efficient image servers

Author:
Jaemyoun Lee
,
Kyungtae Kang
,
Chang Song
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/IC3.2014.6897236
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1089170
Keyword(s): evolutionary computation,n heat losses,n nonlinear programming,n power engineering computing,n solar absorber-convertors,n solar power,n double-glazed flat-plate solar collector,n heat loss factor,n hybrid evolutionary algorithm,n nonlinear programming,n optimization algorithm,n Materials,n Optimization,n double-glazed solar collector,n hybrid evolutionary algorithm,n inverse problem,n optimization
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    Analyzing I/O patterns for the design of energy-efficient image servers

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contributor authorJaemyoun Lee
contributor authorKyungtae Kang
contributor authorChang Song
date accessioned2020-03-12T22:37:34Z
date available2020-03-12T22:37:34Z
date issued2014
identifier other7017087.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1089170
formatgeneral
languageEnglish
publisherIEEE
titleAnalyzing I/O patterns for the design of energy-efficient image servers
typeConference Paper
contenttypeMetadata Only
identifier padid8227336
subject keywordsevolutionary computation
subject keywordsn heat losses
subject keywordsn nonlinear programming
subject keywordsn power engineering computing
subject keywordsn solar absorber-convertors
subject keywordsn solar power
subject keywordsn double-glazed flat-plate solar collector
subject keywordsn heat loss factor
subject keywordsn hybrid evolutionary algorithm
subject keywordsn nonlinear programming
subject keywordsn optimization algorithm
subject keywordsn Materials
subject keywordsn Optimization
subject keywordsn double-glazed solar collector
subject keywordsn hybrid evolutionary algorithm
subject keywordsn inverse problem
subject keywordsn optimization
identifier doi10.1109/IC3.2014.6897236
journal titleerformance Computing and Communications Conference (IPCCC), 2014 IEEE International
filesize816051
citations0
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