Energy-aware scheduling based on marginal cost and task classification in heterogeneous data centers

Computer Science

• And-States 20%
• Classification Method 40%
• Classification Task 100%
• Data Center 100%
• Energy Consumption 20%
• Energy Consumption Model 20%
• Energy Efficiency 20%
• Energy Optimization 40%
• Energy Saving 20%
• Heterogeneous Data 100%
• Optimization Problem 40%
• Resource Utilisation 40%
• Scheduling Process 20%
• Scheduling Strategy 60%
• State Transition 60%
• task-scheduling 80%
• Total Energy Consumption 40%

Engineering

• Classification Method 16%
• Classification Task 100%
• Cooling System 25%
• Energy Conservation 16%
• Energy Efficiency 8%
• Energy Engineering 100%
• Marginal Costs 100%
• Optimisation Problem 16%
• Resource Utilisation 16%
• Scheduling Strategy 25%
• State Transition 25%
• System State 16%
• Tasks 58%