On energy conservation in data centers

Keyphrases

• Active Period 33%
• Active Servers 33%
• Active State 100%
• Approximation Algorithms 33%
• Capacity Management 33%
• Combinatorial Algorithms 33%
• Computing Capacity 33%
• Consumed Energy 33%
• Data Management 33%
• Energy Conservation 100%
• Energy Consumption 33%
• Energy Management 33%
• Energy Minimization 33%
• Flow Alteration 33%
• Flow Computation 66%
• Heterogeneous Processors 33%
• Heterogeneous Servers 33%
• Idle Period 33%
• Individual Power 33%
• Large Collection 33%
• Low Power Mode 33%
• Management Challenges 33%
• Minimum Cost Flow 66%
• Multicore Architecture 33%
• Multiprocessor Environment 33%
• Optimization Problem 33%
• Polynomial Time 33%
• Power Capacity 33%
• Power Consumption Rate 33%
• Server Architecture 33%
• Single Commodity 33%
• Sleep States 100%
• State Transition 33%
• Total Energy Consumed 33%
• Two-commodity 33%
• Two-commodity Flow 33%
• Two-state 33%

Computer Science

• And-States 60%
• Approximation Algorithms 20%
• Capacity Management 20%
• Data Center 100%
• Energy Consumption 40%
• multi-processor 20%
• Multicore 20%
• Optimization Problem 20%
• Polynomial Time 20%
• Power Consumption 20%
• Server Architecture 20%
• State Transition 20%