Energy-aware workflow job scheduling for green clouds

Keyphrases

• Energy-aware 100%
• Virtual Machine 100%
• Job Scheduling 100%
• Green Cloud 100%
• Response Time 66%
• CO2 Emissions 66%
• Quality of Service 33%
• Energy Cost 33%
• On Demand 33%
• Finish Time 33%
• Resource Allocation 33%
• Energy Consumption Reduction 33%
• Computing Networks 33%
• Performance Metrics 33%
• Data Center Server 33%
• Energy Saving 33%
• System Throughput 33%
• Scientific Workflow Scheduling 33%
• Service Level Agreement 33%
• High Resource Utilization 33%
• Energy Consumption 33%
• Dynamic Voltage Frequency Scaling 33%
• Dynamic Voltage Scaling 33%
• Resource Efficiency 33%
• Cloud Data Center 33%
• CloudSim 33%
• Workflow Scheduling Algorithm 33%
• Network Bandwidth 33%
• Time Requirement 33%
• Sustainable Cloud Computing 33%
• Consumption Emissions 33%
• Resource Provision 33%
• CPU Frequency 33%
• Energy Minimization 33%
• Computer Server 33%
• Computing Capacity 33%
• Allocation Algorithm 33%
• Dual-mode 33%

Computer Science

• Job Scheduling 100%
• Virtual Machine 100%
• Response Time 66%
• Data Center 66%
• Energy Consumption 66%
• Resource Utilisation 33%
• Scheduling Algorithm 33%
• Scientific Workflow 33%
• Performance Metric 33%
• Utilization Rate 33%
• Quality of Service 33%
• Open Source 33%
• Time Requirement 33%
• Service-Level Agreement 33%
• Dynamic Voltage and Frequency Scaling 33%
• Network Bandwidth 33%
• Operation Mode 33%
• Cloud Computing 33%