Scheduling in time-triggered networks

被引:0
|
作者
Voss, Sebastian [1 ]
机构
[1] EADS Deutschland GmbH, EADS Innovat Works, D-81663 Munich, Germany
关键词
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Modern avionics systems consist of distributed components that communicate over shared networks. Such networks offer - in contrast to point-to-point connections - more system flexibility and cost reduction due to reduced wiring. A key component for increasing the level of performance, and attaining a reliable and predictable communication in distributed avionics systems is an adequate scheduling strategy. When considering avionics architectures with distributed nodes communicating over a time-triggered shared medium, the problem is to generate a schedule that preserves hard-real time properties. For this, the general task scheduling policies have to be extended by also considering message scheduling to address the whole complexity of such systems. This paper presents a novel off-line scheduling approach for (hard) real-time systems based on a time-triggered communication network that integrates task scheduling at system level with message scheduling at communication level. The approach augments conventional scheduling rules with algorithms addressing the specific problems of time triggered system design, allowing therefore for the generation of a feasible communication schedule. This leads to an improvement in reliability and predictability of communication.
引用
收藏
页码:1081 / 1090
页数:10
相关论文
共 50 条
  • [1] Routing and Scheduling of Time-Triggered Traffic in Time-Sensitive Networks
    Atallah, Ayman A.
    Hamad, Ghaith Bany
    Mohamed, Otmane Ait
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 16 (07) : 4525 - 4534
  • [2] AI-Based Scheduling for Adaptive Time-Triggered Networks
    Lua, Carlos
    Onwuchekwa, Daniel
    Obermaisser, Roman
    2022 11TH MEDITERRANEAN CONFERENCE ON EMBEDDED COMPUTING (MECO), 2022, : 15 - 21
  • [3] SAL-Based Symbolic Scheduling in Time-Triggered Networks
    Voss, Sebastian
    Sorea, Maria
    Echtle, Klaus
    INTEGRATED FORMAL METHODS, PROCEEDINGS, 2009, 5423 : 200 - +
  • [4] Adaptive Scheduling for Multicluster Time-Triggered Train Communication Networks
    Wang, Ningchen
    Yu, Qinghan
    Wan, Hai
    Song, Xiaoyu
    Zhao, Xibin
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2019, 15 (02) : 1120 - 1130
  • [5] Genetic Algorithm for Scheduling Time-Triggered Traffic in Time-Sensitive Networks
    Pahlevan, Maryam
    Obermaisser, Roman
    2018 IEEE 23RD INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA), 2018, : 337 - 344
  • [6] ILP-Based Joint Routing and Scheduling for Time-Triggered Networks
    Schweissguth, Eike
    Danielis, Peter
    Timmermann, Dirk
    Parzyjegla, Helge
    Muehl, Gero
    PROCEEDINGS OF THE 25TH INTERNATIONAL CONFERENCE ON REAL-TIME NETWORKS AND SYSTEMS (RTNS 2017), 2017, : 8 - 17
  • [7] Genetic Algorithm for Scheduling Time-Triggered Communication Networks with Data Compression
    Majidi, Setareh
    Obermaisser, Roman
    2019 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL CYBER PHYSICAL SYSTEMS (ICPS 2019), 2019, : 373 - 379
  • [8] Joint Optimization for Routing and Scheduling Time-Triggered Flows in Time-Sensitive Networks
    Liu, Haowei
    Yang, Wujun
    Chang, Zhixian
    2024 6TH INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE PROCESSING, ICNLP 2024, 2024, : 687 - 692
  • [9] Scheduling of time-triggered real-time systems
    Schild K.
    Würtz J.
    Constraints, 2000, 5 (04) : 335 - 357
  • [10] Holistic Scheduling of Real-Time Applications in Time-Triggered In-Vehicle Networks
    Hu, Menglan
    Luo, Jun
    Wang, Yang
    Lukasiewycz, Martin
    Zeng, Zeng
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2014, 10 (03) : 1817 - 1828