Bahar Houtan, Mehmet Onur Aybek, M. Ashjaei, M. Daneshtalab, Mikael Sjödin, John Lundbäck, S. Mubeen
{"title":"End-to-end Timing Modeling and Analysis of TSN in Component-Based Vehicular Software","authors":"Bahar Houtan, Mehmet Onur Aybek, M. Ashjaei, M. Daneshtalab, Mikael Sjödin, John Lundbäck, S. Mubeen","doi":"10.1109/ISORC58943.2023.00025","DOIUrl":null,"url":null,"abstract":"In this paper, we present an end-to-end timing model to capture timing information from software architectures of distributed embedded systems that use network communication based on the Time-Sensitive Networking (TSN) standards. Such a model is required as an input to perform end-to-end timing analysis of these systems. Furthermore, we present a methodology that aims at automated extraction of instances of the end-to-end timing model from component-based software architectures of the systems and the TSN network configurations. As a proof of concept, we implement the proposed end-to-end timing model and the extraction methodology in the Rubus Component Model (RCM) and its tool chain Rubus-ICE that are used in the vehicle industry. We demonstrate the usability of the proposed model and methodology by modeling a vehicular industrial use case and performing its timing analysis.","PeriodicalId":281426,"journal":{"name":"2023 IEEE 26th International Symposium on Real-Time Distributed Computing (ISORC)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE 26th International Symposium on Real-Time Distributed Computing (ISORC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISORC58943.2023.00025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we present an end-to-end timing model to capture timing information from software architectures of distributed embedded systems that use network communication based on the Time-Sensitive Networking (TSN) standards. Such a model is required as an input to perform end-to-end timing analysis of these systems. Furthermore, we present a methodology that aims at automated extraction of instances of the end-to-end timing model from component-based software architectures of the systems and the TSN network configurations. As a proof of concept, we implement the proposed end-to-end timing model and the extraction methodology in the Rubus Component Model (RCM) and its tool chain Rubus-ICE that are used in the vehicle industry. We demonstrate the usability of the proposed model and methodology by modeling a vehicular industrial use case and performing its timing analysis.