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Coordinated actors for reliable self-adaptive systems
Sharif University Of Technology, Iran.
University of California at Berkeley, USA.
University of Tehran, Iran ; Reykjavik University, Iceland.
Linnaeus University, Faculty of Technology, Department of Computer Science.ORCID iD: 0000-0002-0377-5595
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2017 (English)In: FACS 2016 : Formal Aspects of Component Software: International Workshop on Formal Aspects of Component Software, Springer, 2017, 241-259 p.Conference paper, Published paper (Refereed)
Abstract [en]

Self-adaptive systems are systems that automatically adapt in response to environmental and internal changes, such as possible failures and variations in resource availability. Such systems are often realized by a MAPE-K feedback loop, where Monitor, Analyze, Plan and Execute components have access to a runtime model of the system and environment which is kept in the Knowledge component. In order to provide guarantees on the correctness of a self-adaptive system at runtime, the MAPE-K feedback loop needs to be extended with assurance techniques. To address this issue, we propose a coordinated actor-based approach to build a reusable and scalable model@runtime for self-adaptive systems in the domain of track-based traffic control systems. We demonstrate the approach by implementing an automated Air Traffic Control system (ATC) using Ptolemy tool.We compare different adaptation policies on the ATC model based on performance metrics and analyze combination of policies in different configurations of the model. We enriched our framework with runtime performance analysis such that for any unexpected change, subsequent behavior of the model is predicted and results are used for adaptation at the change-point. Moreover, the developed framework enables checking safety properties at runtime. © Springer International Publishing AG 2017.

Place, publisher, year, edition, pages
Springer, 2017. 241-259 p.
Series
Lecture Notes in Computer Science, 10231
Keyword [en]
Air Traffic Control System, Cyber physical system, Model@runtime, Performance analysis, Self-adaptive system
National Category
Software Engineering
Research subject
Computer Science, Software Technology
Identifiers
URN: urn:nbn:se:lnu:diva-64659DOI: 10.1007/978-3-319-57666-4_15Scopus ID: 2-s2.0-85018304749ISBN: 9783319576657 (print)OAI: oai:DiVA.org:lnu-64659DiVA: diva2:1104935
Conference
13th International Conference on Formal Aspects of Component Software, FACS 2016; Besancon; France; 19 - 21 October, 2016
Available from: 2017-06-02 Created: 2017-06-02 Last updated: 2017-06-27Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
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Output format
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  • asciidoc
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