Time delay optimization scheme of industrial internet based on time sensitive software defined network

被引:0
|
作者
Wu L. [1 ]
Liu J. [1 ]
Gao Z. [1 ]
Dong Z. [1 ]
Xu H. [1 ]
机构
[1] School of Information Science and Engineering, Shandong University, Qingdao
关键词
industrial internet; network time delay; shortest path routing; software defined network (SDN); time sensitive network (TSN);
D O I
10.12305/j.issn.1001-506X.2023.06.28
中图分类号
学科分类号
摘要
Aiming to solve the problems of network congestion and time delay increasement caused by the simultaneous transmission of data traffic with different priorities in large-scale industrial communication networks, a network time delay optimization scheme is proposed based on the time sensitive software defined network (TSSDN) framework. In the data-link layer, the enhanced-time awareness shaper (E-TAS) algorithm of classified shaping scheduling is adopted for the data traffic with different priorities in the industrial network to shorten the network queuing time delay. The synchronous real-time data with the highest priority is scheduled by a flow reservation, and the asynchronous real-time data with the second priority is scheduled by a frame preemption, and the low priority non real-time data is fairly scheduled according to its scheduling weight. At the same time, the Dijkstra algorithm based on time delay is used in the network layer to shorten the propagation time delay of network data. The simulation results validate that the proposed schedule can effectively meet the requirement of time delay for data traffic of different priorities and the optimization of the performance for total network time delay. © 2023 Chinese Institute of Electronics. All rights reserved.
引用
收藏
页码:1836 / 1846
页数:10
相关论文
共 29 条
  • [11] XU L, XU Q M, ZHANG Y Z, Et al., Co-design approach of scheduling and routing in time sensitive networking, Proc. of the IEEE Conference on Industrial Cyber Physical Systems, pp. 111-116, (2020)
  • [12] VLK M, HANZALEK Z, BREJCHOVA K, Et al., Enhancing schedule ability and throughput of time-triggered traffic in IEEE 802.1Qbv time-sensitive networks, IEEE Trans.on Communications, 68, 11, pp. 7023-7038, (2020)
  • [13] CRACIUNAS S, OLIVER R, MARTIN C, Et al., Scheduling real-time communication in IEEE 802.1Qbv time sensitive networks, Proc. of the ACM 24th International Conference on Real-Time Networks and Systems, pp. 183-192, (2016)
  • [14] YIN Z Y, LIU H L, ZHANG F Q, Et al., Research and implementation of TAS-WRR scheduling algorithm based on time awareness shaper[J], Journal of Chinese Computer Systems, 42, 5, pp. 1077-1081, (2021)
  • [15] WANG S, HUANG Y D, HUANG T, Et al., Software-defined cross-domain scheduling mechanism for time-sensitive network-ing, Journal on Communications, 42, 10, pp. 1-9, (2021)
  • [16] SAADATPOUR M, SHABANIAN T, BEHDADFAR M, Et al., QoS improvement in SDN using centralized routing based on feedback, Proc. of the IEEE International Conference on Information Networking, pp. 132-136, (2021)
  • [17] SEGARA A P, IJTIHADIE R M, AHMAD T, Et al., Route discovery to avoid congestion in software defined networks, Proc. of the IEEE 6th International Conference on Science in Information Technology, pp. 62-67, (2020)
  • [18] IEEE standard for local and metropolitan area networks timing and synchronization for time-sensitive applications, (2020)
  • [19] LI B Q, ZHANG S, WANG Z W, Et al., Performance analysis and improvement about WFQ and WRR schedule algorithm[J], Tran-saction of Beijing Institute of Technology, 35, 3, pp. 316-320, (2015)
  • [20] IEEE draft standard for local and metropolitan area networks-bridges and bridged networks, (2021)