基于动态优先级的配用电物联网业务调度策略

Dynamic Priority Based Scheduling Strategy for Power Distribution Internet of Things Business

海量配用电物联网业务数据接入边缘物联网关,会产生大量业务数据包堆积和丢失的问题。对此,提出基于动态优先级的配用电物联网业务调度策略,以满足不同业务的通信需求。首先根据业务通信需求和业务重要度评估配用电物联网业务的通信价值,并基于此建立多优先级业务排队模型,计算边缘物联网关处理转发配用电物联网业务数据的平均排队时间,为业务调度提供理论依据。然后结合业务剩余价值密度和业务执行迫切性提出动态优先级因子,并加入业务抢占机制和设置抢占阈值,提出基于动态优先级的业务调度策略。最后通过OPNET Modeler平台进行仿真分析,验证所提业务调度策略的有效性。仿真分析表明该策略在保障运行控制类业务的通信需求的同时,可降低信息采集类业务的排队延时,并且在海量业务数据突发接入时,相较于传统的业务调度算法具有更好的可靠性和效益。

When massive business data of the power distribution Internet of Things(PD-IoT)is connected to the edge IoT gateways,a large number of business data packets will be accumulated and lost.Therefore,this paper proposes a dynamic priority-based scheduling strategy for PD-IoT business to meet the communication needs of different business.Firstly,it evaluates the communication value of PD-IoT business based on communication requirements and importance,and then establishes a multi-priority business queuing model on the basis of business communication value to calculate the average queuing time for the edge IoT gateway to process and forward PD-IoT business data,which could provide a theoretical basis for business scheduling.Combined with the business residual value density and execution urgency,the paper proposes a business scheduling strategy based on dynamic priority,which adds business preemption mechanism and sets the preemption threshold.Finally,the simulation analysis is carried out on the OPNET Modeler platform to verify the effectiveness of the proposed strategy.The simulation analysis indicates this strategy can not only ensure the communication requirements of operation control services,but also reduce the queuing delay of information collection services.In addition,the strategy has good reliability and benefits compared with the traditional service scheduling algorithm when massive service data burst access.