Mobile edge computing has the advantages of strong computing power,short latency,low cost,etc.,but it faces the problem of resource shortage caused by a large number of device centralized migration tasks.To solve this problem,the task computing model and data transmission model are constructed,economic factors are fully considered,and a resource allocation algorithm based on device satisfaction is proposed.This algorithm utilizes matching theory to improve the cost-performance ratio of resources,and achieves efficient utilization of server computing resources and spectrum resources.The simulation results show that this algorithm significantly improves the satisfaction of devices in the system with resource allocation schemes.
关键词
移动边缘计算/计算资源/频谱资源/匹配理论
Key words
mobile edge computing/computing resources/spectrum resources/matching theory
维普
万方数据