Ensemble-Based Modeling Abstractions for Modern Self-optimizing Systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A10453431" target="_blank" >RIV/00216208:11320/22:10453431 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-031-19759-8_20" target="_blank" >https://doi.org/10.1007/978-3-031-19759-8_20</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-19759-8_20" target="_blank" >10.1007/978-3-031-19759-8_20</a>
Alternative languages
Result language
angličtina
Original language name
Ensemble-Based Modeling Abstractions for Modern Self-optimizing Systems
Original language description
In this paper, we extend our ensemble-based component model DEECo with the capability to use machine-learning and optimization heuristics in establishing and reconfiguration of autonomic component ensembles. We show how to capture these concepts on the model level and give an example of how such a model can be beneficially used for modeling access-control related problem in the Industry 4.0 settings. We argue that incorporating machine-learning and optimization heuristics is a key feature for modern smart systems which are to learn over the time and optimize their behavior at runtime to deal with uncertainty in their environment.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GC20-24814J" target="_blank" >GC20-24814J: FluidTrust – Enabling trust by fluid access control to data and physical resources in Industry 4.0 systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Leveraging Applications of Formal Methods, Verification and Validation. Adaptation and Learning 11th International Symposium, ISoLA 2022, Rhodes, Greece, October 22–30, 2022, Proceedings, Part III
ISBN
978-3-031-19758-1
ISSN
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e-ISSN
1611-3349
Number of pages
17
Pages from-to
318-334
Publisher name
Springer
Place of publication
Cham, Germany
Event location
Rhodes, Greece
Event date
Oct 22, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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