A Modeling Framework for Schedulability Analysis of Distributed Avionics Systems

Pujie Han; Zhengjun Zhai; Brian Nielsen; Ulrik Nyman

doi:10.4204/EPTCS.268.5

A Modeling Framework for Schedulability Analysis of Distributed Avionics Systems

Pujie Han, Zhengjun Zhai, Brian Nielsen, Ulrik Nyman

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

7 Citations (Scopus)

208 Downloads (Pure)

Abstract

This paper presents a modeling framework for schedulability analysis of distributed integrated modular avionics (DIMA) systems that consist of spatially distributed ARINC-653 modules connected by a unified AFDX network. We model a DIMA system as a set of stopwatch automata (SWA) in UPPAAL to analyze its schedulability by classical model checking (MC) and statistical model checking (SMC). The framework has been designed to enable three types of analysis: global SMC, global MC, and compositional MC. This allows an effective methodology including (1) quick schedulability falsification using global SMC analysis, (2) direct schedulability proofs using global MC analysis in simple cases, and (3) strict schedulability proofs using compositional MC analysis for larger state space. The framework is applied to the analysis of a concrete DIMA system.

Original language	English
Title of host publication	Proceedings Third Workshop on Models for Formal Analysis of Real Systems and Sixth International Workshop on Verification and Program Transformation
Editors	John P. Gallagher, Rob van Glabbeek, Wendelin Serwe
Number of pages	19
Volume	268
Publisher	EPTCS
Publication date	27 Mar 2018
Pages	150-168
DOIs	https://doi.org/10.4204/EPTCS.268.5
Publication status	Published - 27 Mar 2018
Event	3rd Workshop on Models for Formal Analysis of Real Systems and 6th International Workshop on Verification and Program Transformation, MARSVPT 2018 - Thessaloniki, Greece Duration: 20 Apr 2018 → …

Conference

Conference	3rd Workshop on Models for Formal Analysis of Real Systems and 6th International Workshop on Verification and Program Transformation, MARSVPT 2018
Country/Territory	Greece
City	Thessaloniki
Period	20/04/2018 → …

Series	Electronic Proceedings in Theoretical Computer Science
ISSN	2075-2180

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10.4204/EPTCS.268.5Licence: CC BY 3.0

A Modeling Framework for Schedulability Analysis of Distributed Avionics SystemsFinal published version, 1,000 KBLicence: CC BY 3.0

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Han, P., Zhai, Z., Nielsen, B., & Nyman, U. (2018). A Modeling Framework for Schedulability Analysis of Distributed Avionics Systems. In J. P. Gallagher, R. van Glabbeek, & W. Serwe (Eds.), Proceedings Third Workshop on Models for Formal Analysis of Real Systems and Sixth International Workshop on Verification and Program Transformation (Vol. 268, pp. 150-168). EPTCS. https://doi.org/10.4204/EPTCS.268.5

Han, Pujie ; Zhai, Zhengjun ; Nielsen, Brian et al. / A Modeling Framework for Schedulability Analysis of Distributed Avionics Systems. Proceedings Third Workshop on Models for Formal Analysis of Real Systems and Sixth International Workshop on Verification and Program Transformation. editor / John P. Gallagher ; Rob van Glabbeek ; Wendelin Serwe. Vol. 268 EPTCS, 2018. pp. 150-168 (Electronic Proceedings in Theoretical Computer Science).

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title = "A Modeling Framework for Schedulability Analysis of Distributed Avionics Systems",

abstract = "This paper presents a modeling framework for schedulability analysis of distributed integrated modular avionics (DIMA) systems that consist of spatially distributed ARINC-653 modules connected by a unified AFDX network. We model a DIMA system as a set of stopwatch automata (SWA) in UPPAAL to analyze its schedulability by classical model checking (MC) and statistical model checking (SMC). The framework has been designed to enable three types of analysis: global SMC, global MC, and compositional MC. This allows an effective methodology including (1) quick schedulability falsification using global SMC analysis, (2) direct schedulability proofs using global MC analysis in simple cases, and (3) strict schedulability proofs using compositional MC analysis for larger state space. The framework is applied to the analysis of a concrete DIMA system.",

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Han, P, Zhai, Z, Nielsen, B & Nyman, U 2018, A Modeling Framework for Schedulability Analysis of Distributed Avionics Systems. in JP Gallagher, R van Glabbeek & W Serwe (eds), Proceedings Third Workshop on Models for Formal Analysis of Real Systems and Sixth International Workshop on Verification and Program Transformation. vol. 268, EPTCS, Electronic Proceedings in Theoretical Computer Science, pp. 150-168, 3rd Workshop on Models for Formal Analysis of Real Systems and 6th International Workshop on Verification and Program Transformation, MARSVPT 2018, Thessaloniki, Greece, 20/04/2018. https://doi.org/10.4204/EPTCS.268.5

A Modeling Framework for Schedulability Analysis of Distributed Avionics Systems. / Han, Pujie; Zhai, Zhengjun; Nielsen, Brian et al.
Proceedings Third Workshop on Models for Formal Analysis of Real Systems and Sixth International Workshop on Verification and Program Transformation. ed. / John P. Gallagher; Rob van Glabbeek; Wendelin Serwe. Vol. 268 EPTCS, 2018. p. 150-168 (Electronic Proceedings in Theoretical Computer Science).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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AU - Han, Pujie

AU - Zhai, Zhengjun

AU - Nielsen, Brian

AU - Nyman, Ulrik

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AB - This paper presents a modeling framework for schedulability analysis of distributed integrated modular avionics (DIMA) systems that consist of spatially distributed ARINC-653 modules connected by a unified AFDX network. We model a DIMA system as a set of stopwatch automata (SWA) in UPPAAL to analyze its schedulability by classical model checking (MC) and statistical model checking (SMC). The framework has been designed to enable three types of analysis: global SMC, global MC, and compositional MC. This allows an effective methodology including (1) quick schedulability falsification using global SMC analysis, (2) direct schedulability proofs using global MC analysis in simple cases, and (3) strict schedulability proofs using compositional MC analysis for larger state space. The framework is applied to the analysis of a concrete DIMA system.

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U2 - 10.4204/EPTCS.268.5

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AN - SCOPUS:85048359714

VL - 268

T3 - Electronic Proceedings in Theoretical Computer Science

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BT - Proceedings Third Workshop on Models for Formal Analysis of Real Systems and Sixth International Workshop on Verification and Program Transformation

A2 - Gallagher, John P.

A2 - van Glabbeek, Rob

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Han P, Zhai Z, Nielsen B , Nyman U. A Modeling Framework for Schedulability Analysis of Distributed Avionics Systems. In Gallagher JP, van Glabbeek R, Serwe W, editors, Proceedings Third Workshop on Models for Formal Analysis of Real Systems and Sixth International Workshop on Verification and Program Transformation. Vol. 268. EPTCS. 2018. p. 150-168. (Electronic Proceedings in Theoretical Computer Science). doi: 10.4204/EPTCS.268.5

A Modeling Framework for Schedulability Analysis of Distributed Avionics Systems

Abstract

Conference

Access to Document

AUB Link

Other files and links

Fingerprint

Compositional Verification of Real-time MULTI-CORE SAFETY Critical Systems

Schedulability Analysis of Distributed Multi-core Avionics Systems with UPPAAL

A Compositional Approach for Schedulability Analysis of Distributed Avionics Systems

Cite this

A Modeling Framework for Schedulability Analysis of Distributed Avionics Systems

Abstract

Conference

Access to Document

AUB Link

Other files and links

Fingerprint

Projects

Compositional Verification of Real-time MULTI-CORE SAFETY Critical Systems

Research output

Schedulability Analysis of Distributed Multi-core Avionics Systems with UPPAAL

A Compositional Approach for Schedulability Analysis of Distributed Avionics Systems

Cite this