DRL4HFC: Deep Reinforcement Learning for Container-Based Scheduling in Hybrid Fog/Cloud System

Computer Science

• Business Process 33%
• Cloud Environment 66%
• cloud system 100%
• Communication Bandwidth 33%
• Communication Cost 33%
• Compute Resource 33%
• Data Handling 33%
• Deep Reinforcement Learning 100%
• Execution Time 66%
• Experimental Result 33%
• Hybrid Architecture 33%
• Internet-Of-Things 66%
• Microservice 100%
• Multiobjective 33%
• Network Resource 33%
• Quality of Service 33%
• Resource Consumption 33%
• Scheduling Problem 33%