To better reduce the communication delay of mobile edge computing(MEC),a resource allocation optimization scheme suitable for multi-server and multi-user was proposed.Based on the multi-server and multi-user network model,the data trans-mission volume and transmission energy efficiency were taken as optimization goals to reduce communication delay.The through-put model and the energy efficiency model of transmission energy efficiency were established using bandwidth resources and com-puting resources,and the optimization objective was transformed into a nonlinear problem through two models.The allocation algorithm was integrated with the energy efficiency optimization algorithm,the biogeographical optimization clustering algorithm was improved with high convergence and strong adaptability to obtain the allocation algorithm,and the initial plan was obtained using the allocation algorithm.The initial plan was iteratively optimized to allocate resources such as bandwidth and computing power more reasonably and improve the throughput of the system,and the final optimized allocation plan was obtained using the energy efficiency optimization algorithm based on the initial one.Simulation experiments verify the feasibility of the model and the effectiveness of the algorithm.
关键词
移动边缘计算/资源分配/吞吐量/能效/通信时延/带宽/计算能力
Key words
mobile edge computing/resource allocation/throughput/energy efficiency/communication delay/bandwidth/com-puter power
维普
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