Device Satisfaction-Based Resource Allocation Algorithm in Mobile Edge Computing
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.
mobile edge computingcomputing resourcesspectrum resourcesmatching theory
万方数据
维普
