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On energy conservation in data centers
Susanne Albers
Informatics 14 - Chair of Algorithms and Complexity
Research output
:
Contribution to journal
›
Article
›
peer-review
8
Scopus citations
Overview
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Keyphrases
Energy Conservation
100%
Active State
100%
Sleep States
100%
Minimum Cost Flow
66%
Flow Computation
66%
Energy Consumption
33%
Optimization Problem
33%
Two-state
33%
Polynomial Time
33%
Computing Capacity
33%
Energy Minimization
33%
Combinatorial Algorithms
33%
Data Management
33%
Consumed Energy
33%
Energy Management
33%
Multicore Architecture
33%
Approximation Algorithms
33%
Capacity Management
33%
Low Power Mode
33%
Heterogeneous Servers
33%
Power Capacity
33%
State Transition
33%
Heterogeneous Processors
33%
Multiprocessor Environment
33%
Management Challenges
33%
Two-commodity Flow
33%
Two-commodity
33%
Total Energy Consumed
33%
Power Consumption Rate
33%
Idle Period
33%
Active Period
33%
Server Architecture
33%
Flow Alteration
33%
Large Collection
33%
Single Commodity
33%
Active Servers
33%
Individual Power
33%
Computer Science
Data Center
100%
And-States
60%
Energy Consumption
40%
Optimization Problem
20%
Power Consumption
20%
Multicore
20%
Approximation Algorithms
20%
multi-processor
20%
Capacity Management
20%
Server Architecture
20%
Polynomial Time
20%
State Transition
20%