Energy efficient workflow job scheduling for green cloud

Keyphrases

• Energy Efficient 100%
• Job Scheduling 100%
• CO2 Emissions 100%
• Green Cloud 100%
• Energy Consumption Reduction 66%
• Resource Efficiency 66%
• Resource Provision 66%
• Quality of Service 33%
• Energy Cost 33%
• Multiple Steps 33%
• Resource Allocation 33%
• Directed Acyclic Graph 33%
• Big Data 33%
• Scientific Applications 33%
• Cloud Infrastructure 33%
• Energy Efficiency 33%
• Energy Saving 33%
• Virtual Machine 33%
• Scientific Workflow Scheduling 33%
• High Resource Utilization 33%
• Energy Consumption 33%
• Dynamic Voltage Frequency Scaling 33%
• Dynamic Voltage Scaling 33%
• Cloud Data Center 33%
• Workflow Scheduling Algorithm 33%
• Resource Sharing 33%
• Performance Bounds 33%
• Sustainable Cloud Computing 33%
• Consumption Emissions 33%
• Energy Minimization 33%
• Allocation Algorithm 33%
• Structured Workflow 33%
• Problem Complexity 33%
• Energy Increase 33%
• Efficiency Perspective 33%
• Highest Profit 33%
• Scalable Technology 33%
• Elastic Resources 33%
• Efficient Execution 33%
• Performance Efficiency 33%
• Multiple Data Centers 33%

Computer Science

• Energy Efficient 100%
• Job Scheduling 100%
• Energy Consumption 100%
• Resource Utilisation 66%
• Data Center 66%
• Utilization Rate 66%
• Cloud Computing 33%
• Scheduling Algorithm 33%
• Big Data 33%
• Scientific Application 33%
• Scientific Workflow 33%
• Directed Acyclic Graph 33%
• Quality of Service 33%
• Cloud Infrastructure 33%
• Energy Saving 33%
• Dynamic Voltage and Frequency Scaling 33%
• Virtual Machine 33%
• Performance Bound 33%
• Resource Sharing 33%
• Problem Complexity 33%
• Efficient Execution 33%