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Better energy-delay tradeoff via server resource pooling
Ioannis Kamitsos
, Lachlan Andrew
, Hongseok Kim
, Sangtae Ha
, Mung Chiang
Electrical and Computer Engineering
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
4
Scopus citations
Overview
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Keyphrases
Energy Consumption Performance
50%
Energy-delay Tradeoff
100%
Heterogeneous Case
50%
Heterogeneous Cores
50%
Homogeneous Core
50%
Load Estimation
50%
Minimum Processing
50%
Model Server
50%
Server Resource
100%
Computer Science
Algorithmic Efficiency
33%
Clock Frequency
33%
Data Center
33%
Energy Consumption
100%
Estimation Error
33%
Multi-Core Architectures
33%
Power Requirement
33%
Processing Speed
33%
Resource Pooling
100%
Engineering
Clock Frequency
33%
Design Stage
33%
Energy Engineering
100%
Estimation Error
33%
Homogeneous Case
33%
Optimal Policy
33%
Power Requirement
33%
Reduce Energy Consumption
33%