Network media streaming offloading algorithm based on QoE in mobile edge network
Aiming at the problems of high-latency,high energy consumption,high bandwidth,and poor quality of expe-rience(QoE)caused by emerging network media streaming business in mobile edge computing,a computing offloading algorithm based on QoE feedback configuration was proposed.Firstly,both preprocessing and priority were comprehen-sively considered to maximize network resource utilization.Meanwhile,different weights were assigned to the computa-tion tasks for establishing a resource allocation relationship.Secondly,after comprehensively taking into account deadline,computing resource,power and bandwidth constraint,an QoE model was established where the optimization objective was the weighted sum of task delay,energy consumption and precision,and the method of Lagrange multipliers was uti-lized to solve the established model.Simulation results indicate that,compared with the deep reinforcement learn-ing-based online offloading algorithm,the proposed algorithm can effectively optimize the resource allocation and better improve the QoE.
mobile edge computingquality of experienceLagrange multiplier methodnetwork media streamingcom-puting offloading
万方数据
维普
