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Coordinated actor model of self-adaptive track-based traffic control systems
Sharif Univ Technol, Iran.
Mälardalen University;Reykjavik Univ, Iceland.
Reykjavik Univ, Iceland;Univ Tehran, Iran.
Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).ORCID-id: 0000-0002-0377-5595
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2018 (Engelska)Ingår i: Journal of Systems and Software, ISSN 0164-1212, E-ISSN 1873-1228, Vol. 143, s. 116-139Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Self-adaptation is a well-known technique to handle growing complexities of software systems, where a system autonomously adapts itself in response to changes in a dynamic and unpredictable environment. With the increasing need for developing self-adaptive systems, providing a model and an implementation platform to facilitate integration of adaptation mechanisms into the systems and assuring their safety and quality is crucial. In this paper, we target Track-based Traffic Control Systems (TTCSs) in which the traffic flows through pre-specified sub-tracks and is coordinated by a traffic controller. We introduce a coordinated actor model to design self-adaptive TTCSs and provide a general mapping between various TTCSs and the coordinated actor model. The coordinated actor model is extended to build large-scale self-adaptive TTCSs in a decentralized setting. We also discuss the benefits of using Ptolemy II as a framework for model-based development of large-scale self-adaptive systems that supports designing multiple hierarchical MAPE-K feedback loops interacting with each other. We propose a template based on the coordinated actor model to design a self-adaptive TTCS in Ptolemy II that can be instantiated for various TTCSs. We enhance the proposed template with a predictive adaptation feature. We illustrate applicability of the coordinated actor model and consequently the proposed template by designing two real-life case studies in the domains of air traffic control systems and railway traffic control systems in Ptolemy II.

Ort, förlag, år, upplaga, sidor
Elsevier, 2018. Vol. 143, s. 116-139
Nyckelord [en]
Self-adaptive systems, Track-based traffic control systems, Model@Runtime, MAPE-K feedback loop, Ptolemy II framework
Nationell ämneskategori
Data- och informationsvetenskap
Forskningsämne
Data- och informationsvetenskap, Datavetenskap
Identifikatorer
URN: urn:nbn:se:lnu:diva-77374DOI: 10.1016/j.jss.2018.05.034ISI: 000438180000009Scopus ID: 2-s2.0-85048497434OAI: oai:DiVA.org:lnu-77374DiVA, id: diva2:1243299
Tillgänglig från: 2018-08-30 Skapad: 2018-08-30 Senast uppdaterad: 2019-08-29Bibliografiskt granskad

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