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Concept Level Explorationof IMA-based Networked Platforms with Mixed Time-Sensitive Communication Requirements
Linköpings universitet, Institutionen för datavetenskap, Programvara och system. Linköpings universitet, Tekniska fakulteten.
Linköpings universitet, Institutionen för datavetenskap, Programvara och system. Linköpings universitet, Tekniska fakulteten.ORCID-id: 0000-0002-1485-0802
2022 (Engelska)Ingår i: 33rd Congress of the International Council of the Aeronautical Sciences, Stockholm, Sweden, 2022, 2022Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

In this paper, we apply a grammar-based approach to generate computation and communication platforms for avionic applications with mixed classes of time-sensitive communication messages. Then, we propose an evolutionary algorithm to schedule communication in the platform considering the interaction between timetriggered and bandwidth-constrained traffic. Together, the platform generation approach and the scheduling algorithm support the exploration of avionic systems at the concept level.

Ort, förlag, år, upplaga, sidor
2022.
Nyckelord [en]
platform architecture exploration; time-sensitive networks; mixed-critical communication; communication scheduling; timeliness analysis
Nationell ämneskategori
Datavetenskap (datalogi)
Identifikatorer
URN: urn:nbn:se:liu:diva-203165OAI: oai:DiVA.org:liu-203165DiVA, id: diva2:1855336
Konferens
ICAS2022, Stockholm, Sweden, 4-9 September, 2022
Tillgänglig från: 2024-04-30 Skapad: 2024-04-30 Senast uppdaterad: 2024-04-30Bibliografiskt granskad
Ingår i avhandling
1. Exploring Trade-offs in Concept Design of Integrated Modular Avionic Platform Configurations: Topology Generation, Resource Adequacy, and Dependability
Öppna denna publikation i ny flik eller fönster >>Exploring Trade-offs in Concept Design of Integrated Modular Avionic Platform Configurations: Topology Generation, Resource Adequacy, and Dependability
2024 (Engelska)Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
Abstract [en]

Modern aircraft heavily depend on computer systems to carry out various tasks. From managing flight surfaces and engines to processing radar and imagery data and facilitating communication with other aircraft and ground stations, computers are involved in almost every aspect of an aircraft’s operation. These computer systems, known as Integrated Modular Avionics (IMA) systems, have long life cycles that span several decades and undergo regular updates. Despite this, a significant portion of the overall life cycle costs is determined very early in the life cycle, in the concept design phase. 

While the early concept stage provides the best opportunity to influence the design of the system and its future costs, it is also the stage where information about the system is most limited. During this early stage, selecting a suitable IMA platform configuration must ensure sufficient resources for the intended aircraft functionalities, particularly in computing and networking capabilities. Additionally, the decisions regarding safety and security measures must align with application requirements. However, this is a complex task due to conflicting requirements, necessitating compromises, and the limited information available at this early stage. 

This thesis explores the analysis and generation of avionic architecture configurations during the concept stage, addressing the problem on two fronts. The first focuses on verifying whether a chosen IMA platform configuration provides sufficient resources to ensure timely communication for a specified set of avionic applications. The second centers on exploring the conceptual design space to find IMA platform configurations aligned with computing, networking, fault-tolerance, and security application needs. 

To contribute to the problem’s verification aspect, this thesis introduces two high-level abstractions, namely timed automata and a domain-specific model based on Unified Modelling Languages (UML), to model IMA systems at the concept stage. These are designed to capture inter-process message ex-changes within networked IMA platforms. Additionally, we propose a workflow and a supporting tool explicitly designed to translate our proposed model into a network calculus model for further analysis. The approach’s practicality and scalability are showcased through its application to an avionics use case. 

In exploring conceptual design space, this thesis proposes NetGAP, a domain-specific method in which interconnection patterns in generic networked system topologies are represented as graph grammars. Combined with Monte Carlo Tree Search and genetic algorithms, these grammars are used to navigate the solution space and generate candidate IMA platform configurations tailored to the requirements of an envisaged application. Through application to an avionics use case, NetGAP is shown to be scalable and suitable for different types of requirements. To further expedite the process, NetGAP has evolved into NeuralGAP. The latter employs graph neural networks to assess network topology compatibility with the target application, accelerating the concept exploration and improving its results.  

Ort, förlag, år, upplaga, sidor
Linköping: Linköping University Electronic Press, 2024. s. 67
Serie
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 2384
Nationell ämneskategori
Datavetenskap (datalogi)
Identifikatorer
urn:nbn:se:liu:diva-203166 (URN)10.3384/9789180756143 (DOI)9789180756136 (ISBN)9789180756143 (ISBN)
Disputation
2024-06-05, Key 1, Key-building, Campus Valla, Linköping, 13:00 (Engelska)
Opponent
Handledare
Forskningsfinansiär
Vinnova, NFFP7 2017-04890; 2023-01183
Tillgänglig från: 2024-04-30 Skapad: 2024-04-30 Senast uppdaterad: 2024-05-24Bibliografiskt granskad

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