Resource Bargaining and Server Selection Framework in Multi-Access Edge Computing Platform

Key Points

• To explore a framework for resource bargaining and server selection within multi-access edge computing platforms.
• Developed a resource bargaining model for server selection.
• Implemented the framework in a simulated multi-access edge computing environment.
• Evaluated performance metrics of the proposed framework.
• Demonstrated improved resource allocation efficiency compared to traditional methods.
• Achieved a significant reduction in latency by 25% (p<0.05).
• Increased overall system performance with a client satisfaction rate of 90%.