Pfannemüller, Martin ; Breitbach, Martin ; Weckesser, Markus ; Becker, Christian ; Schmerl, Bradley ; Schürr, Andy ; Krupitzer, Christian (2021)
REACT-ION: A Model-Based Runtime Environment for Situation-Aware Adaptations.
In: ACM Transactions on Autonomous and Adaptive Systems, 15 (4)
doi: 10.1145/3487919
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
Trends such as the Internet of Things lead to a growing number of networked devices and to a variety of communication systems. Adding self-adaptive capabilities to these communication systems is one approach to reducing administrative effort and coping with changing execution contexts. Existing frameworks can help reducing development effort but are neither tailored toward the use in communication systems nor easily usable without knowledge in self-adaptive systems development. Accordingly, in previous work, we proposed REACT, a reusable, model-based runtime environment to complement communication systems with adaptive behavior. REACT addresses heterogeneity and distribution aspects of such systems and reduces development effort. In this article, we propose REACT-ION—an extension of REACT for situation awareness. REACT-ION offers a context management module that is able to acquire, store, disseminate, and reason on context data. The context management module is the basis for (i) proactive adaptation with REACT-ION and (ii) self-improvement of the underlying feedback loop. REACT-ION can be used to optimize adaptation decisions at runtime based on the current situation. Therefore, it can cope with uncertainty and situations that were not foreseeable at design time. We show and evaluate in two case studies how REACT-ION’s situation awareness enables proactive adaptation and self-improvement.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2021 |
| Autor(en): | Pfannemüller, Martin ; Breitbach, Martin ; Weckesser, Markus ; Becker, Christian ; Schmerl, Bradley ; Schürr, Andy ; Krupitzer, Christian |
| Art des Eintrags: | Bibliographie |
| Titel: | REACT-ION: A Model-Based Runtime Environment for Situation-Aware Adaptations |
| Sprache: | Englisch |
| Publikationsjahr: | 20 Dezember 2021 |
| Ort: | New York, NY, USA |
| Verlag: | ACM |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | ACM Transactions on Autonomous and Adaptive Systems |
| Jahrgang/Volume einer Zeitschrift: | 15 |
| (Heft-)Nummer: | 4 |
| DOI: | 10.1145/3487919 |
| URL / URN: | https://dl.acm.org/doi/full/10.1145/3487919 |
| Kurzbeschreibung (Abstract): | Trends such as the Internet of Things lead to a growing number of networked devices and to a variety of communication systems. Adding self-adaptive capabilities to these communication systems is one approach to reducing administrative effort and coping with changing execution contexts. Existing frameworks can help reducing development effort but are neither tailored toward the use in communication systems nor easily usable without knowledge in self-adaptive systems development. Accordingly, in previous work, we proposed REACT, a reusable, model-based runtime environment to complement communication systems with adaptive behavior. REACT addresses heterogeneity and distribution aspects of such systems and reduces development effort. In this article, we propose REACT-ION—an extension of REACT for situation awareness. REACT-ION offers a context management module that is able to acquire, store, disseminate, and reason on context data. The context management module is the basis for (i) proactive adaptation with REACT-ION and (ii) self-improvement of the underlying feedback loop. REACT-ION can be used to optimize adaptation decisions at runtime based on the current situation. Therefore, it can cope with uncertainty and situations that were not foreseeable at design time. We show and evaluate in two case studies how REACT-ION’s situation awareness enables proactive adaptation and self-improvement. |
| Freie Schlagworte: | runtime environment, situation awareness, model-based, framework, Self-adaptive systems |
| Zusätzliche Informationen: | Art.No.: 12 |
| Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Datentechnik > Echtzeitsysteme 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Datentechnik DFG-Sonderforschungsbereiche (inkl. Transregio) DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > A: Konstruktionsmethodik DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > A: Konstruktionsmethodik > Teilprojekt A4: Selbst-Adaption |
| Hinterlegungsdatum: | 21 Apr 2022 08:59 |
| Letzte Änderung: | 21 Apr 2022 08:59 |
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