IRFS: A CQF Scheduling Method Integrating Queue Resources and Flow Features in Time-Sensitive Networking

被引:0
|
作者
Sun, Wenjing [1 ,2 ]
Zou, Yuan [1 ]
Guan, Nan [2 ]
Zhang, Xudong [1 ]
Fan, Jie [1 ]
Meng, Yihao [1 ]
机构
[1] Beijing Institute of Technology, National Engineering Laboratory for Electric Vehicles, School of Mechanical Engineering, Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing,100081, China
[2] City University of Hong Kong, Department of Computer Science, Hong Kong
关键词
Queueing theory;
D O I
10.1109/TVT.2024.3414666
中图分类号
O211 [概率论(几率论、或然率论)];
学科分类号
摘要
Time-sensitive networking (TSN) has revolutionized Ethernet with real-time and deterministic transmission capabilities, making it one of the most potential solutions for future vehicular and industrial networks. Compared to time-aware shaper (TAS), the cyclic queuing and forwarding (CQF) protocol simplifies the gate control list (GCL) configuration process, reducing the deployment difficulty of TSN in large-scale networks. Much research has proposed incremental scheduling approaches for the CQF. However, existing methods often inadequately consider and insufficiently integrate network and flow characteristics, limiting scheduling performance. This paper introduces a novel CQF scheduling method, IRFS, which integrates queue resources and flow features for efficient searching of scheduling priority, routing path, and start offset. A priority sorting function is proposed that deeply combines network and flow characteristics while considering both spatial and temporal resource allocation. IRFS achieves efficient scheduling and load balancing by constructing combinations of (flow, path, offset), where the elements respectively represent flow features, the spatial distribution, and the temporal distribution of resources. The IRFS is validated in different network scenarios, including simple, complex, and In-Vehicle Networking (IVN) settings. It is compared against other state-of-the-art CQF scheduling algorithm. The IRFS demonstrates superior performance in scheduling success rate, load balancing, and computation time across these scenarios. © 1967-2012 IEEE.
引用
收藏
页码:14201 / 14211
相关论文
共 50 条
  • [1] SSA:CQF-oriented Scheduling Algorithm in Time-Sensitive Networking
    Jiang X.-Y.
    Yan J.-L.
    Quan W.
    Sun Z.-G.
    [J]. Dongbei Daxue Xuebao/Journal of Northeastern University, 2020, 41 (06): : 784 - 791
  • [2] Injection Time Planning: Making CQF Practical in Time-Sensitive Networking
    Yan, Jinli
    Quan, Wei
    Jiang, Xuyan
    Sun, Zhigang
    [J]. IEEE INFOCOM 2020 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONS, 2020, : 616 - 625
  • [3] Security-Aware Scheduling Method for Time-Sensitive Networking
    Lu Y.
    Xie W.
    Wang H.
    Chen Z.
    Cheng Z.
    Pan W.
    Qin J.
    [J]. Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science), 2023, 51 (05): : 1 - 12
  • [4] MSS: Exploiting Mapping Score for CQF Start Time Planning in Time-Sensitive Networking
    Guo, Miao
    Gu, Chaojie
    He, Shibo
    Shi, Zhiguo
    Chen, Jiming
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 19 (02) : 2140 - 2150
  • [5] Survey on Traffic Scheduling in Time-Sensitive Networking
    Zhang T.
    Feng J.
    Ma Y.
    Qu S.
    Ren F.
    [J]. Jisuanji Yanjiu yu Fazhan/Computer Research and Development, 2022, 59 (04): : 747 - 764
  • [6] Efficient Flow Scheduling for Industrial Time-Sensitive Networking: A Divisibility Theory-Based Method
    Zhang, Yanzhou
    Xu, Qimin
    Xu, Lei
    Chen, Cailian
    Guan, Xinping
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, 18 (12) : 9312 - 9323
  • [7] Burst-Aware Time-Triggered Flow Scheduling With Enhanced Multi-CQF in Time-Sensitive Networks
    Yang, Dong
    Cheng, Zongrong
    Zhang, Weiting
    Zhang, Hongke
    Shen, Xuemin
    [J]. IEEE-ACM TRANSACTIONS ON NETWORKING, 2023, 31 (06) : 2809 - 2824
  • [8] Flow Ordering Problem for Time-Triggered Traffic in the Scheduling of Time-Sensitive Networking
    Chen, Zhuoxing
    Lu, Yiqin
    Wang, Haihan
    Qin, Jiancheng
    Wang, Meng
    [J]. IEEE COMMUNICATIONS LETTERS, 2023, 27 (05) : 1367 - 1371
  • [9] Rethinking the Use of Network Cycle in Time-Sensitive Networking (TSN) Flow Scheduling
    Lin, Jiashuo
    Li, Weichao
    Feng, Xingbo
    Zhan, Shuangping
    Feng, Jingbin
    Cheng, Jian
    Wang, Tao
    Li, Qing
    Wang, Yi
    Li, Fuliang
    Tang, Bo
    [J]. 2022 IEEE/ACM 30TH INTERNATIONAL SYMPOSIUM ON QUALITY OF SERVICE (IWQOS), 2022,
  • [10] Mix-Flow Scheduling for Concurrent Multipath Transmission in Time-Sensitive Networking
    Zheng, Yao
    Wang, Shuo
    Yin, Shuwen
    Wu, Binwei
    Liu, Yunjie
    [J]. 2021 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS), 2021,