基于移动边缘计算的任务调度算法研究

Research on Task Scheduling Algorithm Based on Mobile Edge Computing

移动边缘计算(Mobile Edge Computing,MEC)属于一种先进、智能的计算模式,通过运用该模式可以对智能设备进行任务调度,使其调度到MEC服务器执行状态,避免智能设备资源出现受限问题。在进行移动边缘计算期间,在多用户场景下,任务调度问题通常对时延、任务产生一定的依赖,针对该问题,采用仿真实验的方式,对比和分析实时调度算法与遗传算法。实验结果表明,与遗传算法相比,实时调度算法的设计和运用,可以将智能设备能耗降到最低,还能在高并发、高时延的情况下,表现出良好的运行性能。

Mobile Edge Computing(MEC)is an advanced and intelligent computing mode.By using this mode,you can schedule tasks for intelligent devices to the MEC server execution state,so as to avoid the resource constraints of intelligent devices.The experimental results showed that compared with genetic algorithms,the design and application of real-time scheduling algorithms can minimize the energy consumption of intelligent devices,and at the same time,they can demonstrate good operational performance under high concurrency and high latency conditions.I hope to provide effective reference and guidance for relevant personnel through this study.