Investigating the Potential of Kepler Toward Power Observability for Sustainable Cloud Computing

Keyphrases

• Kubernetes 100%
• Efficient Power 100%
• Power Level 100%
• Power Monitoring 100%
• Exporters 100%
• Sustainable Cloud Computing 100%
• State Transition 66%
• C-state 66%
• Root Mean Square Error 33%
• Monitoring System 33%
• Cloud Computing 33%
• Configuration Settings 33%
• Current Power 33%
• Virtualization 33%
• Artificial Intelligence 33%
• Highly Sensitive 33%
• Validation Framework 33%
• Evaluation Method 33%
• Multi-tenancy 33%
• Energy Demand 33%
• Dynamic Power 33%
• Power Model 33%
• Systematic Evaluation 33%
• Technical Constraints 33%
• Containerization 33%
• Power Estimation 33%
• CPU Frequency Scaling 33%
• Sustainability Efforts 33%
• Dynamic Workload 33%
• Multi-cloud Environment 33%
• Configuration States 33%
• Depth Evaluation 33%
• Effective Power 33%
• Monitoring Requirements 33%
• World Cloud 33%
• Measuring Power Consumption 33%
• Power Configuration 33%
• Fine-grained Monitoring 33%
• Cloud Scenarios 33%
• Power Tracking 33%
• Containerized Environments 33%
• Promising Solution 33%
• Open-source Tools 33%
• Processor Socket 33%
• State-varying 33%
• Accuracy Verification 33%

Computer Science

• Cloud Computing 100%
• Kubernetes 100%
• Power Efficient 100%
• State Transition 66%
• Virtualization 33%
• Artificial Intelligence 33%
• Open Source Tool 33%
• Evaluation Methodology 33%
• Power Consumption 33%
• Dynamic Power 33%
• Monitoring Tool 33%
• Key Requirement 33%
• Root Mean Squared Error 33%
• Overestimation 33%
• Dynamic Workload 33%
• Processor Socket 33%