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 Inst Technol, Collaborat Innovat Ctr Elect Vehicles Beijing, Sch Mech Engn, Natl Engn Lab Elect Vehicles, Beijing 100081, Peoples R China
[2] City Univ Hong Kong, Dept Comp Sci, Hong Kong, Peoples R China
关键词
Job shop scheduling; Sorting; Logic gates; Routing; Switches; Scheduling algorithms; Resource management; Time-sensitive networking; cyclic queuing and forwarding; traffic scheduling; resource mapping;
D O I
10.1109/TVT.2024.3414666
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
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.
引用
收藏
页码:14201 / 14211
页数:11
相关论文
共 50 条
  • [21] Flexible Switching Architecture with Virtual-Queue for Time-Sensitive Networking Switches
    Yun, Qiwen
    Xu, Qimin
    Zhang, Yanzhou
    Chen, Yingxiu
    Sun, Yafei
    Chen, Cailian
    IECON 2021 - 47TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2021,
  • [22] Scalable No-wait Scheduling with Flow-aware Model Conversion in Time-Sensitive Networking
    Zhang, Yanzhou
    Xu, Qimin
    Wang, Shouliang
    Chen, Yingxiu
    Xu, Lei
    Chen, Cailian
    2022 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2022), 2022, : 413 - 418
  • [23] Deterministic Cognition: Cross-Domain Flow Scheduling for Time-Sensitive Networks
    Peng, Guoyu
    Wang, Shuo
    Li, Zongquan
    Huang, Tao
    Yuan, Chaowei
    IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING, 2024, 10 (04) : 1481 - 1495
  • [24] Time-Aware Traffic Scheduling with Virtual Queues in Time-Sensitive Networking
    Xue, Junli
    Shou, Guochu
    Liu, Yaqiong
    Hu, Yihong
    Guo, Zhigang
    2021 IFIP/IEEE INTERNATIONAL SYMPOSIUM ON INTEGRATED NETWORK MANAGEMENT (IM 2021), 2021, : 604 - 607
  • [25] Enhanced Real-time Scheduling of AVB Flows in Time-Sensitive Networking
    Deng, Libing
    Zeng, Gang
    Kurachi, Ryo
    Takada, Hiroaki
    Xiao, Xiongren
    Li, Renfa
    Xie, Guoqi
    ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS, 2024, 29 (02)
  • [26] Decentralized Dynamic Scheduling of TCPS Flows and a Simulator for Time-sensitive Networking
    Polachan, Kurian
    Singh, Chandramani
    Prabhakar, T., V
    ACM TRANSACTIONS ON INTERNET TECHNOLOGY, 2022, 22 (04)
  • [27] Efficient Traffic Scheduling Using Genetic Algorithm in Time-Sensitive Networking
    Su, Xiaoqian
    Tang, Chuhang
    Gong, Cheng
    2022 6TH INTERNATIONAL SYMPOSIUM ON COMPUTER SCIENCE AND INTELLIGENT CONTROL, ISCSIC, 2022, : 232 - 238
  • [28] Hybrid traffic scheduling in time-sensitive networking for the support of automotive applications
    Nie, Hongrui
    Su, Yue
    Zhao, Weibo
    Mu, Junsheng
    IET COMMUNICATIONS, 2024, 18 (02) : 111 - 128
  • [29] A Novel Routing Algorithm for the Acceleration of Flow Scheduling in Time-Sensitive Networks
    Huang, Jheng-Yu
    Hsu, Ming-Hung
    Shen, Chung-An
    SENSORS, 2020, 20 (21) : 1 - 16
  • [30] A Network Scheduling Method Based on Segmented Constraints for Convergence of Time-Sensitive Networking and Industrial Wireless Networks
    Wei, Min
    Liu, Chang
    Wang, Jin
    Yang, Shujie
    ELECTRONICS, 2023, 12 (11)