Cooperative game theory-based approach for energy-aware job scheduling in cloud

Keyphrases

• Theory-based Approach 100%
• Energy-aware 100%
• Job Scheduling 100%
• Cooperative Game Theory 100%
• Low Power Consumption 66%
• Cloud Computing 33%
• Resource Utilization 33%
• Cloud Service Provider 33%
• Power Consumption 33%
• Makespan 33%
• Web Browser 33%
• Task-oriented 33%
• Completion Time 33%
• Performance Guarantee 33%
• Low Energy 33%
• High Resource Utilization 33%
• Electricity Cost 33%
• Job Scheduler 33%
• Cost Performance 33%
• Active Users 33%
• Software-as-a-service 33%
• Bag-of-tasks 33%
• Makespan Constraint 33%
• Prioritized Tasks 33%
• Cloud Node 33%
• Platform Software 33%
• Pareto Optimality 33%
• Storage Service 33%
• Nash Bargaining 33%
• Service Platform 33%
• Data Service 33%
• Power Consumption Minimization 33%
• Job Scheduling Algorithm 33%

Computer Science

• Job Scheduling 100%
• cooperative game theory 100%
• Resource Utilisation 66%
• Power Consumption 66%
• Cloud Service Provider 33%
• Scheduling Algorithm 33%
• Web Browser 33%
• Completion Time 33%
• Software Storage 33%
• Low Power Consumption 33%
• Lower Energy Consumption 33%
• Pareto-optimality 33%
• Pareto Optimality 33%
• Data Services 33%
• Cloud Computing 33%