基于大数据调度的OMS配网一体化调控算法研究

Research on Integrated Control Algorithm of OMS Distribution Network Based on Big Data Scheduling

针对当前OMS配网一体化调控方法存在的带宽利用率低、数据传输时延高和数据丢包率高的问题,提出基于大数据调度的OMS配网一体化调控算法。根据任务的稀缺度和紧急度计算任务在OMS配网中的优先请求级别,采用历史信息统计法结合节点能力影响因素计算节点在OMS配网中的上传能力。在任务优先请求级别和节点上传能力的基础上,计算路径在OMS配网中的可用带宽和前向传输时延,并将最大优先算法应用到发生数据丢包的现象中,重新选择传输路径,避免配网中接收端出现乱序的现象,根据计算结果结合重选路策略实现OMS配网的一体化调控。实验结果表明,所提算法的带宽利用率高、数据传输时延低、数据丢包率低。

The traditional integrated control method of OMS distribution network has some disadvantages,such as low bandwidth utilization,high data transmission delay and high packet loss rate.In this regard,this paper proposes an integrated control algorithm of OMS distribution network based on big data scheduling.The priority request level of the task in the OMS distribution network was calculated by the scarcity and urgency of the task.The historical information statistics method and the influence factors of node capability were introduced to calculate the upload ability of the node in the OMS distribution network.Based on the task priority request level and node upload capability,the available bandwidth and forward transmission delay of the path in the OMS distribution network were calculated.Meanwhile,the transmission path is reselected via the application of the maximum priority algorithm for avoiding the disorder of the receiving end in the distribution network.According to the calculation results and the rerouting strategy,the integrated control of OMS distribution network was achieved.The simulation results show that the algorithm has high bandwidth utilization,low data transmission delay and low packet loss rate.