移动边缘计算中基于设备满意度的资源分配算法

Device Satisfaction-Based Resource Allocation Algorithm in Mobile Edge Computing

移动边缘计算具有运算能力强、时延短、成本低等优点,但面临大量设备集中迁移任务带来的资源紧张等问题。本文针对该问题,构建任务计算模型、数据传输模型,并充分考虑经济因素,提出了基于设备满意度的资源分配算法。该算法利用匹配理论提高设备购买资源的性价比,实现服务器计算资源及频谱资源的高效利用。仿真结果表明,该算法显著提高了系统中设备对资源分配方案的满意度。

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 costperformance 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.