@Article{2020:REACT-ION,
AUTHOR = {Pfannm\"{u}ller, Martin and Breitbach, Martin and Weckesser, Marcus and Becker, Christian and Schmerl, Bradley and Sch\"{u}rr, Andy and Krupitzer, Christian},
TITLE = {REACT-ION: A Model-based Runtime Environment for Situation-aware Adaptations},
YEAR = {2020},
MONTH = {December},
JOURNAL = {ACM Transactions on Autonomous and Adaptive Systems},
VOLUME = {15},
NUMBER = {4},
PAGES = {1-29},
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.},
KEYWORDS = {Cyberphysical Systems, Self-adaptation, Self-awareness & Adaptation}
}
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