Energy-aware task offloading with deadline constraint in mobile edge computing

Keyphrases

• Deep Reinforcement Learning (deep RL) 100%
• Deadline Constraint 100%
• Mobile Edge Computing 100%
• Energy-aware 100%
• Task Offloading 100%
• Mobile Devices 75%
• Edge Computing Environment 50%
• Wireless Networks 25%
• State Change 25%
• Computational Capability 25%
• Quality of Experience 25%
• Mobile Application 25%
• Latency 25%
• K-nearest 25%
• Action Representation 25%
• Performance Metrics 25%
• Reinforcement Learning Algorithm 25%
• Smart Home 25%
• Offloading Scheme 25%
• Computation-intensive 25%
• Objective Tracking 25%
• Traffic Monitoring 25%
• Parameter Setting 25%
• Approximate Approach 25%
• Space Problem 25%
• Real-time Vision 25%
• Actor-critic Methods 25%
• Large Discrete Action Spaces 25%
• Constraint Deep Reinforcement Learning 25%
• Algorithm Comparison 25%
• Vision Processing 25%
• ENodeB 25%
• Computation-intensive Task 25%
• Continuous Action Space 25%
• Discrete Actions 25%
• Better Performance 25%
• High Energy Consumption 25%

Computer Science

• Deep Reinforcement Learning 100%
• Multi-Access Edge Computing 100%
• Task Offloading 100%
• Mobile Device 60%
• Computing Environment 40%
• Intensive Computation 40%
• Experimental Result 20%
• Energy Consumption 20%
• Mobile Application 20%
• Learning Approach 20%
• Performance Metric 20%
• Traffic Monitoring 20%
• Quality-of-Experience 20%
• Wireless Network 20%