Experiences from Adjusting Industrial Software for Worst-Case Execution Time Analysis

Patrick Denzler; Thomas Fruhwirth; Andreas Kirchberger; Martin Schoeberl; Wolfgang Kastner

doi:10.1109/ISORC52013.2021.00019

Experiences from Adjusting Industrial Software for Worst-Case Execution Time Analysis

Patrick Denzler, Thomas Fruhwirth, Andreas Kirchberger, Martin Schoeberl, Wolfgang Kastner

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

Worst-case execution time (WCET) analysis is a prevalent way to ensure the timely execution of programs in time-critical systems. With the advent of new technologies such as fog computing and time-sensitive networking (TSN), the interest in timing analysis has increased in industrial communication. This paper highlights experiences made while adjusting the publisher of the open62541 OPC UA stack to enable WCET analysis, following a simple process combined with the open-source platform T-CREST. The main challenges are the required knowledge about the code and the specific communication software characteristics like variable message sizes. Other findings indicate the need for other types of annotation for indirect recursion or callback functions. The paper provides the foundation for further research on adjusting the implementation of existing industrial communication protocols for WCET analysis.

Original language	English
Title of host publication	Proceedings of 2021 IEEE 24^th International Symposium on Real-Time Distributed Computing
Publisher	IEEE
Publication date	2021
Pages	62-70
ISBN (Print)	978-1-6654-4735-5
DOIs	https://doi.org/10.1109/ISORC52013.2021.00019
Publication status	Published - 2021
Event	24^th IEEE International Symposium on Real-Time Distributed Computing - Virtual event, Daegu, Korea, Republic of Duration: 1 Jun 2021 → 3 Jun 2021 Conference number: 24 https://isorc2021.github.io/

Conference

Conference	24^th IEEE International Symposium on Real-Time Distributed Computing
Number	24
Location	Virtual event
Country/Territory	Korea, Republic of
City	Daegu
Period	01/06/2021 → 03/06/2021
Internet address	https://isorc2021.github.io/

Keywords

Industrial software
OPC UA
Real-time communication
Transformation rules
Worst-case execution time

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10.1109/ISORC52013.2021.00019

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@inproceedings{5598336e6010463dbd449aca9b20b82d,

title = "Experiences from Adjusting Industrial Software for Worst-Case Execution Time Analysis",

abstract = "Worst-case execution time (WCET) analysis is a prevalent way to ensure the timely execution of programs in time-critical systems. With the advent of new technologies such as fog computing and time-sensitive networking (TSN), the interest in timing analysis has increased in industrial communication. This paper highlights experiences made while adjusting the publisher of the open62541 OPC UA stack to enable WCET analysis, following a simple process combined with the open-source platform T-CREST. The main challenges are the required knowledge about the code and the specific communication software characteristics like variable message sizes. Other findings indicate the need for other types of annotation for indirect recursion or callback functions. The paper provides the foundation for further research on adjusting the implementation of existing industrial communication protocols for WCET analysis.",

keywords = "Industrial software, OPC UA, Real-time communication, Transformation rules, Worst-case execution time",

author = "Patrick Denzler and Thomas Fruhwirth and Andreas Kirchberger and Martin Schoeberl and Wolfgang Kastner",

year = "2021",

doi = "10.1109/ISORC52013.2021.00019",

language = "English",

isbn = "978-1-6654-4735-5",

pages = "62--70",

booktitle = "Proceedings of 2021 IEEE 24th International Symposium on Real-Time Distributed Computing",

publisher = "IEEE",

address = "United States",

note = "24<sup>th</sup> IEEE International Symposium on Real-Time Distributed Computing, IEEE ISORC 2021 ; Conference date: 01-06-2021 Through 03-06-2021",

url = "https://isorc2021.github.io/",

}

Denzler, P, Fruhwirth, T, Kirchberger, A, Schoeberl, M & Kastner, W 2021, Experiences from Adjusting Industrial Software for Worst-Case Execution Time Analysis. in Proceedings of 2021 IEEE 24^th International Symposium on Real-Time Distributed Computing. IEEE, pp. 62-70, 24^th IEEE International Symposium on Real-Time Distributed Computing, Daegu, Korea, Republic of, 01/06/2021. https://doi.org/10.1109/ISORC52013.2021.00019

Experiences from Adjusting Industrial Software for Worst-Case Execution Time Analysis. / Denzler, Patrick; Fruhwirth, Thomas; Kirchberger, Andreas et al.
Proceedings of 2021 IEEE 24^th International Symposium on Real-Time Distributed Computing. IEEE, 2021. p. 62-70.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - Experiences from Adjusting Industrial Software for Worst-Case Execution Time Analysis

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AU - Fruhwirth, Thomas

AU - Kirchberger, Andreas

AU - Schoeberl, Martin

AU - Kastner, Wolfgang

N1 - Conference code: 24

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N2 - Worst-case execution time (WCET) analysis is a prevalent way to ensure the timely execution of programs in time-critical systems. With the advent of new technologies such as fog computing and time-sensitive networking (TSN), the interest in timing analysis has increased in industrial communication. This paper highlights experiences made while adjusting the publisher of the open62541 OPC UA stack to enable WCET analysis, following a simple process combined with the open-source platform T-CREST. The main challenges are the required knowledge about the code and the specific communication software characteristics like variable message sizes. Other findings indicate the need for other types of annotation for indirect recursion or callback functions. The paper provides the foundation for further research on adjusting the implementation of existing industrial communication protocols for WCET analysis.

AB - Worst-case execution time (WCET) analysis is a prevalent way to ensure the timely execution of programs in time-critical systems. With the advent of new technologies such as fog computing and time-sensitive networking (TSN), the interest in timing analysis has increased in industrial communication. This paper highlights experiences made while adjusting the publisher of the open62541 OPC UA stack to enable WCET analysis, following a simple process combined with the open-source platform T-CREST. The main challenges are the required knowledge about the code and the specific communication software characteristics like variable message sizes. Other findings indicate the need for other types of annotation for indirect recursion or callback functions. The paper provides the foundation for further research on adjusting the implementation of existing industrial communication protocols for WCET analysis.

KW - Industrial software

KW - OPC UA

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U2 - 10.1109/ISORC52013.2021.00019

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Y2 - 1 June 2021 through 3 June 2021

ER -

Experiences from Adjusting Industrial Software for Worst-Case Execution Time Analysis

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Keywords

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