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Combining Earliest Deadline First Scheduling with Scheduled Traffic Support in Automotive TSN-Based Networks

التفاصيل البيبلوغرافية
العنوان: Combining Earliest Deadline First Scheduling with Scheduled Traffic Support in Automotive TSN-Based Networks
المؤلفون: Luca Leonardi, Lucia Lo Bello, Gaetano Patti
المصدر: Applied System Innovation, Vol 5, Iss 6, p 125 (2022)
بيانات النشر: MDPI AG, 2022.
سنة النشر: 2022
المجموعة: LCC:Technology
LCC:Applied mathematics. Quantitative methods
مصطلحات موضوعية: automotive communications, Time-Sensitive Networking, deadline-aware scheduling, Technology, Applied mathematics. Quantitative methods, T57-57.97
الوصف: Recent work on automotive communications based on the Time-Sensitive Networking (TSN) standards proposed an approach to handle all the real-time frames in a uniform way regardless of their arrival pattern. According to such an approach, instead of binding all the frames of the same flow to a traffic class, each periodic or event-driven frame is scheduled based on its absolute deadline according to the Earliest Deadline First (EDF) algorithm. The approach does not impose additional frame overhead and does not require complex offline configurations that would be unsuitable for event-driven traffic. However, EDF scheduling cannot support time-driven communications. To solve this problem, this paper proposes a framework that combines the flexibility of online EDF frame scheduling for both periodic and event-driven traffic with the ability to guarantee temporal isolation to time-driven traffic. The paper describes the design of the proposed approach and the performance obtained using the OMNeT++ simulation environment.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2571-5577
Relation: https://www.mdpi.com/2571-5577/5/6/125; https://doaj.org/toc/2571-5577
DOI: 10.3390/asi5060125
URL الوصول: https://doaj.org/article/41a0a1cbe4c74f828c72af4279f6145c
رقم الأكسشن: edsdoj.41a0a1cbe4c74f828c72af4279f6145c
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:25715577
DOI:10.3390/asi5060125