Energy Consumption and Performance Optimized Task Scheduling in Distributed Data Centers

Keyphrases

• Energy Consumption 100%
• Energy Performance 100%
• Simulated Annealing 100%
• Distributed Data Centers 100%
• Adaptive Differential Evolution 100%
• Optimized Task Scheduling 100%
• Optimization Problem 50%
• Energy Cost 50%
• Fast Response 50%
• Response Time 50%
• Software Application 50%
• User Tasks 50%
• Electricity Price 50%
• Knee 50%
• State-of-the-art Techniques 50%
• User Expectations 50%
• High Energy Efficiency 50%
• Low Energy Cost 50%
• Bi-objective 50%
• Task Response Time 50%
• Google Cluster Trace 50%
• Bi-objective Optimization 50%
• Manhattan Distance 50%
• Response Time Minimization 50%
• Energy Cost Reduction 50%
• Major Challenges 50%
• Work First 50%
• Real-life Datasets 50%

Computer Science

• Energy Consumption 100%
• Data Center 100%
• task-scheduling 100%
• Response Time 100%
• Simulated Annealing 50%
• Differential Evolution 50%
• Energy Efficiency 25%
• Optimization Problem 25%
• Software Application 25%
• Experimental Result 25%
• User Expectation 25%
• Manhattan Distance 25%