A novel energy model based predictive motion estimation algorithm
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: 2014شناسه الکترونیک: 10.1109/ICUFN.2014.6876780
کلیدواژه(گان): cloud computing,n minimax techniques,n network servers,n resource allocation,n FCFS,n average end-to-end delay,n cloud servers,n cluster-based cloud computing,n dynamic clustering,n fairness index,n load balancing cloud computing research,n maximal end-to-end delay,n min-max task assignment scheme,n min-min task assignment scheme,n network load balancing,n network processing performance,n processing delays,n system load balancing,n transmissi
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A novel energy model based predictive motion estimation algorithm
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contributor author | Ghahremani, Amir | |
contributor author | Mousavinia, Amir | |
date accessioned | 2020-03-12T22:15:16Z | |
date available | 2020-03-12T22:15:16Z | |
date issued | 2014 | |
identifier other | 6999545.pdf | |
identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1076583 | |
format | general | |
language | English | |
publisher | IEEE | |
title | A novel energy model based predictive motion estimation algorithm | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8212797 | |
subject keywords | cloud computing | |
subject keywords | n minimax techniques | |
subject keywords | n network servers | |
subject keywords | n resource allocation | |
subject keywords | n FCFS | |
subject keywords | n average end-to-end delay | |
subject keywords | n cloud servers | |
subject keywords | n cluster-based cloud computing | |
subject keywords | n dynamic clustering | |
subject keywords | n fairness index | |
subject keywords | n load balancing cloud computing research | |
subject keywords | n maximal end-to-end delay | |
subject keywords | n min-max task assignment scheme | |
subject keywords | n min-min task assignment scheme | |
subject keywords | n network load balancing | |
subject keywords | n network processing performance | |
subject keywords | n processing delays | |
subject keywords | n system load balancing | |
subject keywords | n transmissi | |
identifier doi | 10.1109/ICUFN.2014.6876780 | |
journal title | lectrical Engineering (ICEE), 2014 22nd Iranian Conference on | |
filesize | 577597 | |
citations | 0 |