基于多区域多目标优化算法的广播流媒体直播仿真

Broadcast Streaming Media Live Broadcast Simulation Based on Multi-region and Multi-objective Optimization Algorithm

针对当前广播流媒体直播的时效性问题和多目标优化问题,结合多区域多目标优化算法和顺序分发算法,分析了不同算法对于直播的效果。结果表明两种不同的算法在同一时间段内随着直播任务的个数增加,基于多区域多目标优化算法的下降幅度较小;在同一时间段内,随着直播任务的增加,两种不同算法的等待时间都有所增加。基于多区域多目标优化算法的增长幅度较小,能够针对紧急任务进行优先处理,在性能上能够保持一定的优势。

Aiming at the timeliness and multi-objective optimization problems of current broadcast streaming media live broadcast,this paper combines the multi-region multi-objective optimization algorithm and sequential distribution algorithm to analyze the effect of different algorithms on live broadcast.The results show that the two algorithms have a smaller decline with the increase of the number of live broadcast tasks in the same time period,and the decrease in the multi-region and multi-objective optimization algorithm is smaller.In the same time period,as the live broadcast tasks increase,the waiting times of two algorithms have increased.For the multi-region and multi-objective optimization algorithm,the growth rate is small,and it can give priority to urgent tasks and maintain certain advantages in performance.