Search: id:"swepub:oai:research.chalmers.se:8fb16413-a1c5-48d0-bdc1-564db41c9545" >
Architectural Homeo...
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Gerostathopoulos, IliasTechnische Universität München (TUM),Technical University of Munich (TUM),Univerzita Karlova,Charles University
(author)
Architectural Homeostasis in Self-Adaptive Software-Intensive Cyber-Physical Systems
- Article/chapterEnglish2016
Publisher, publication year, extent ...
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2016-11-03
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Cham :Springer International Publishing,2016
Numbers
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LIBRIS-ID:oai:research.chalmers.se:8fb16413-a1c5-48d0-bdc1-564db41c9545
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ISBN:9783319489919
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https://doi.org/10.1007/978-3-319-48992-6_8DOI
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https://research.chalmers.se/publication/246480URI
Supplementary language notes
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Language:English
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Summary in:English
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Subject category:kon swepub-publicationtype
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Subject category:ref swepub-contenttype
Notes
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Self-adaptive software-intensive cyber-physical systems (sasiCPS) en-counter a high level of run-time uncertainty. State-of-the-art architecture-based self-adaptation approaches assume designing against a fixed set of situations that warrant self-adaptation; as a result, failures may appear when sasiCPS operate in environment conditions they are not specifically designed for. In response, we propose to increase the homeostasis of sasiCPS, i.e., the capacity to maintain an operational state despite run-time uncertainty, by introducing run-time changes to the architecture-based self-adaptation strategies according to environment stimuli. In addition to articulating the main idea of architectural homeostasis, we describe three mechanisms that reify the idea: (i) collaborative sensing, (ii) faulty component isolation from adaptation, and (iii) enhancing mode switching. More-over, our experimental evaluation of the three mechanisms confirms that allowing a complex system to change its self-adaptation strategies helps the system recover from runtime errors and abnormalities and keep it in an operational state.
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Skoda, DominikUniverzita Karlova,Charles University
(author)
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Plasil, FrantisekUniverzita Karlova,Charles University
(author)
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Bures, TomasUniverzita Karlova,Charles University
(author)
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Knauss, Alessia,1983Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)knaussa
(author)
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Technische Universität München (TUM)Univerzita Karlova
(creator_code:org_t)
Related titles
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In:Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)Cham : Springer International Publishing9839 LNCS, s. 113-1281611-33490302-97439783319489919
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