A hybrid approach for performance and energy-based cost prediction in clouds

Computer Science

• Energy Consumption 100%
• Hybrid Approach 100%
• Cloud Computing 66%
• Performance Variation 66%
• Live Migration 66%
• Power Consumption 33%
• Prediction Accuracy 33%
• Computing Resource 33%
• Testbed 33%
• Physical Machine 33%
• cloud provider 33%
• Operational Cost 33%

Engineering

• Hybrid Approach 100%
• Cloud Computing 100%
• Electric Power Utilization 50%
• Operational Cost 50%
• Resource Usage 50%