Biobjective Task Scheduling for Distributed Green Data Centers

Keyphrases

• Task Scheduling 100%
• Green Data Center 100%
• Bi-objective 100%
• Internet Service Provider 36%
• Quality of Service 27%
• Simulated Annealing 18%
• Differential Evolution Algorithm 18%
• Service Rate 18%
• Service Tasks 18%
• Power Grid 9%
• Data-centric 9%
• Wind Energy 9%
• Scheduling Algorithm 9%
• Simulation Experiment 9%
• Solar Energy 9%
• Grid Electricity 9%
• Smart Grid 9%
• Real-life Data 9%
• Existing Algorithms 9%
• Historical Data 9%
• Bandwidth Capacity 9%
• Geographical Location 9%
• Multi-objective Optimization Problem 9%
• Work Design 9%
• Scheduling Approach 9%
• Energy Consumer 9%
• Multi-objective Optimization Algorithm 9%
• Task Scheduling Algorithm 9%
• Large Energy 9%
• Pareto Optimal 9%
• Energy Data 9%
• Heterogeneous Services 9%
• Pareto Optimal Set 9%
• Prediction Scheduling 9%
• Infrastructure Resource 9%
• Heterogeneous Applications 9%
• Typical Tasks 9%
• Highest Profit 9%
• Knee Solutions 9%
• Manhattan Distance 9%
• Response Time Bound 9%
• Actual Quality 9%
• Renewable Microgrid 9%
• Green Energy Prediction 9%
• Net Zero Energy 9%

Computer Science

• Data Center 100%
• task-scheduling 100%
• Internet Service Provider 30%
• Quality of Service 23%
• Multiobjective 15%
• Scheduling Algorithm 15%
• Simulated Annealing 15%
• differential evolution algorithm 15%
• Smart Grid 7%
• Optimization Problem 7%
• Simulation Experiment 7%
• Historical Data 7%
• Response Time 7%
• Geographical Location 7%
• Pareto Optimal Set 7%
• Manhattan Distance 7%