short-paper

A role-based architecture for self-adaptive cyber-physical systems

Author:

Tim KlugeAuthors Info & Claims

SEAMS '20: Proceedings of the IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems

Pages 120 - 124

https://doi.org/10.1145/3387939.3391601

Published: 18 September 2020 Publication History

Abstract

Today's computing world features a growing number of cyber-physical systems that require the cooperation of many physical devices. Examples include autonomous cars and co-working robots, which are expected to appropriately adapt to any possible context they find themselves in (e.g. the presence of a nearby human).

However, the controlling software continues to be developed using established object-oriented modelling techniques like UML, which do not natively possess a notion of context and thus may introduce accidental complexity. With increasing complexity, the probability of the introduction of software errors rises, which can have fatal consequences in cyber-physical systems. To address this, we envision a model-driven architecture for self-adaptive cyber-physical systems that explicitly models structured context. Entities are modelled as message-passing parallel processes and can play roles in specific contexts, which dynamically alter their behaviour and relationships with other parts of the system. Since the planning of complex adaptations can be cumbersome in real-world scenarios, we envision an intuitive formulation of adaptations as graph rewriting rules on the context model.

This paper discusses the current state of research and identifies open research challenges. Based on this, the envisioned architecture as well as an evaluation strategy are presented.

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Cited By

Li QZeng F(2024)Enhancing Software Architecture Adaptability: A Comprehensive Evaluation MethodSymmetry10.3390/sym1607089416:7(894)Online publication date: 13-Jul-2024
https://doi.org/10.3390/sym16070894
Skouti TSeiger RFurrer FStrahringer S(2024)RBPMN: the value of roles for business process modelingSoftware and Systems Modeling10.1007/s10270-024-01202-z23:6(1375-1406)Online publication date: 22-Aug-2024
https://doi.org/10.1007/s10270-024-01202-z
Li QLu MGu TWu Y(2022)Runtime Software Architecture-Based Reliability Prediction for Self-Adaptive SystemsSymmetry10.3390/sym1403058914:3(589)Online publication date: 16-Mar-2022
https://doi.org/10.3390/sym14030589
Show More Cited By

Index Terms

A role-based architecture for self-adaptive cyber-physical systems
1. Computer systems organization
  1. Architectures
    1. Distributed architectures
  2. Embedded and cyber-physical systems
2. Software and its engineering
  1. Software notations and tools
    1. System description languages
      1. System modeling languages

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cover image ACM Conferences

SEAMS '20: Proceedings of the IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems

June 2020

211 pages

ISBN:9781450379625

DOI:10.1145/3387939

General Chair:
Shinichi Honiden
Waseda University/National Institute of Informatics, Japan
,
Program Chairs:
Elisabetta Di Nitto
Politecnico di Milano, Italy
,
Radu Calinescu
University of York, UK

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 18 September 2020

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Deutsche Forschungsgemeinschaft

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SEAMS '20

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SIGSOFT

SEAMS '20: IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems

June 29 - July 3, 2020

Seoul, Republic of Korea

Acceptance Rates

Overall Acceptance Rate 17 of 31 submissions, 55%

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Cited By

Li QZeng F(2024)Enhancing Software Architecture Adaptability: A Comprehensive Evaluation MethodSymmetry10.3390/sym1607089416:7(894)Online publication date: 13-Jul-2024
https://doi.org/10.3390/sym16070894
Skouti TSeiger RFurrer FStrahringer S(2024)RBPMN: the value of roles for business process modelingSoftware and Systems Modeling10.1007/s10270-024-01202-z23:6(1375-1406)Online publication date: 22-Aug-2024
https://doi.org/10.1007/s10270-024-01202-z
Li QLu MGu TWu Y(2022)Runtime Software Architecture-Based Reliability Prediction for Self-Adaptive SystemsSymmetry10.3390/sym1403058914:3(589)Online publication date: 16-Mar-2022
https://doi.org/10.3390/sym14030589
Matusek DKluge TShmelkin ISpringer TSchill A(2022)Adaptation Consistency of Distributed Role-Oriented Applications Based on the Actor Model of ComputationProgress in Advanced Information and Communication Technology and Systems10.1007/978-3-031-16368-5_2(35-60)Online publication date: 18-Nov-2022
https://doi.org/10.1007/978-3-031-16368-5_2
Annighoefer BReinhart JBrunner MSchulz B(2021)The Concept of an Autonomic Avionics Platform and the Resulting Software Engineering Challenges2021 International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)10.1109/SEAMS51251.2021.00031(179-185)Online publication date: May-2021
https://doi.org/10.1109/SEAMS51251.2021.00031
Quin F(2020)Systematic Approach to Engineer Decentralized Self-adaptive SystemsSoftware Architecture10.1007/978-3-030-59155-7_4(38-50)Online publication date: 7-Sep-2020
https://doi.org/10.1007/978-3-030-59155-7_4

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