基于5G边缘计算的智能电网高性价比任务调度

针对智能电网环境中电力数据量庞大且对处理时效性要求高的问题,将5G边缘计算引入智能电网系统.研究了基于5G边缘计算的智能电网任务调度问题,在满足电网任务完成需求的同时,最大限度地降低成本.基于此提出了一种基于贪心策略的启发式任务调度算法,通过与两种算法在包括输入任务数、传输数据大小和延迟要求等参数下的比较,验证了所提算...

Cost-effective Task Scheduling in Smart Grid Based on 5G Edge Computing

In view of the huge amount of power data and the high requirement of processing timeliness in smart grid environment,5G edge computing is introduced into smart grid system.The task scheduling problem of smart grid based on 5G edge computing is studied,which can meet the requirement of grid task completion and minimize the cost.A heuristic task scheduling algorithm based on greedy strategy is proposed.Compared with the other two algorithms under various parameters including the number of input tasks,the size of transmission data and delay requirement,the effectiveness of the proposed algorithm in saving costs is verified.Simulation results show that compared with the other two algorithms,this algorithm can reduce the cost by 50%and achieve excellent performance.