Energy-efficient resource management for scientific workflows in clouds

Keyphrases

• Response Time 100%
• Scientific Workflows 100%
• Energy Consumption Reduction 100%
• Task Scheduling 100%
• Energy Management 100%
• CO2 Emissions 100%
• Resource Provision 100%
• Quality of Service 50%
• Energy Cost 50%
• Multiple Steps 50%
• Resource Allocation 50%
• Big Data 50%
• Scientific Applications 50%
• Performance Metrics 50%
• Energy-aware 50%
• Cloud Infrastructure 50%
• Data Center Server 50%
• Scientific Workflow Scheduling 50%
• Service Level Agreement 50%
• High Resource Utilization 50%
• Energy Consumption 50%
• Dynamic Voltage Frequency Scaling 50%
• Dynamic Voltage Scaling 50%
• Resource Efficiency 50%
• CloudSim 50%
• Workflow Scheduling Algorithm 50%
• Resource Sharing 50%
• Performance Bounds 50%
• Time Requirement 50%
• Sustainable Cloud Computing 50%
• Consumption Emissions 50%
• Energy Minimization 50%
• Computer Server 50%
• Allocation Algorithm 50%
• Electricity Price 50%
• Problem Complexity 50%
• Elastic Resources 50%
• Efficient Execution 50%

Computer Science

• Scientific Workflow 100%
• Energy Efficient 100%
• Energy Consumption 100%
• Response Time 66%
• task-scheduling 66%
• Resource Utilisation 33%
• Scheduling Algorithm 33%
• Big Data 33%
• Scientific Application 33%
• Performance Metric 33%
• Data Center 33%
• Utilization Rate 33%
• Quality of Service 33%
• Cloud Infrastructure 33%
• Open Source 33%
• Time Requirement 33%
• Service-Level Agreement 33%
• Dynamic Voltage and Frequency Scaling 33%
• Performance Bound 33%
• Resource Sharing 33%
• Problem Complexity 33%
• Efficient Execution 33%
• Cloud Computing 33%