Optimal edge-cloud collaboration based strategies for minimizing valid latency of railway environment monitoring system  

作　　者：Xiaoping Ma Jing Zhao Limin Jia Xiyuan Chen Zhe Li 

机构地区：[1]Key Laboratory of Rail Trafic Control and Safety,Beijing Jiaotong University,Beijing 100044,China [2]Beijing Research Center of Urban Traffic Information Inteligent Sensing and Service Technologies,Beijing 100044,China [3]Research and Development Center of Transport Industry of Technologies and Equipments of Urban Rail Operation Safety Management,MOT,Beijing 100044,China [4]School of Trafic and Transportation,Beijing Jiaotong University,Beijing 100044,China [5]National Innovation Center of Intelligent and Connected Vehicles,Beijing 102607,China

出　　处：《High-Speed Railway》2023年第3期185-194,共10页高速铁路（英文）

基　　金：supported by the National Natural Science Foundation of China(No.61903023);the Natural Science Foundation of Bejing Municipality(No.4204110);State Key Laboratory of Rail Traffic Control and Safety(No.RCS2020ZT006,RCS2021ZT006);the Fundamental Research Funds for the Central Universities(No.2020JBM087).

摘　　要：Response speed is vital for the railway environment monitoring system,especially for the sudden-onset disasters.The edge-cloud collaboration scheme is proved efficient to reduce the latency.However,the data characteristics and communication demand of the tasks in the railway environment monitoring system are all different and changeable,and the latency contribution of each task to the system is discrepant.Hence,two valid latency minimization strategies based on the edge-cloud collaboration scheme is developed in this paper.First,the processing resources are allocated to the tasks based on the priorities,and the tasks are processed parallly with the allocated resources to minimize the system valid latency.Furthermore,considering the differences in the data volume of the tasks,which will induce the waste of the resources for the tasks finished in advance.Thus,the tasks with similar priorities are graded into the same group,and the serial and parallel processing strategies are performed intra-group and inter-group simultaneously.Compared with the other four strategies in four railway monitoring scenarios,the proposed strategies proved latency efficiency to the high-priority tasks,and the system valid latency is reduced synchronously.The performance of the railway environment monitoring system in security and efficiency will be promoted greatly with the proposed scheme and strategies.

关 键 词：Railway environment monitoring Edge-cloud collaboration computing Valid latency optimization 

分 类 号：U29-39[交通运输工程—交通运输规划与管理]