REACT: A Model-Based Runtime Environment for Adapting Communication Systems

Pfannemüller, Martin; Breitbach, Martin; Krupitzer, Christian; Weckesser, Markus; Becker, Christian; Schmerl, Bradley; Schürr, Andy

doi:10.1109/acsos49614.2020.00027

Cited by 7 publications

(6 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…First, Section 5.1 compares REACT with Rainbow [36]-a well-known and frequently applied framework for modelbased adaptation. This section summarizes the essential findings from the evaluation of REACT in Reference [67]. Second, Section 5.2 builds upon the extensions of this article and evaluates proactive adaptations with REACT-ION in a smart grid use case.…”

Section: Discussionmentioning

confidence: 99%

“…Accordingly, in Reference [67], we proposed REACT, a reusable runtime environment for modelbased adaptations in communication systems. REACT contributes to the state of the art thanks to its focus on communication systems and domain expert support.…”

Section: Engineering Self-adaptive Systemsmentioning

confidence: 99%

“…We briefly introduce REACT's architecture and internal feedback loop based on Reference [67] in this section, before we present REACT-ION-the extension for situation awareness-in Section 4.…”

Section: React: a Reusable Runtime Environment For Adaptive Communica...mentioning

confidence: 99%

“…Motivated by these observations, we proposed REACT, a Runtime Environment for Adapting Communication SysTems 1 in Reference [67] and applied it in a demo case in Reference [66]. REACT supports domain experts in specifying adaptation behavior in a model-based fashion with Clafer [8] and UML.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

REACT-ION: A Model-based Runtime Environment for Situation-aware Adaptations

Pfannemüller

Breitbach

Weckesser

et al. 2020

ACM Trans. Auton. Adapt. Syst.

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Engineering Self-adaptive Systemsmentioning

confidence: 99%

Section: React: a Reusable Runtime Environment For Adaptive Communica...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

REACT-ION: A Model-based Runtime Environment for Situation-aware Adaptations

Pfannemüller

Breitbach

Weckesser

et al. 2020

ACM Trans. Auton. Adapt. Syst.

Self Cite

View full text Add to dashboard Cite

show abstract

“…In [19] we developed an approach modeling the system and environment state with context feature models, in addition to performance goals and performance-influence models, as part of the knowledge component to find optimal system configurations for a wireless sensor network. Pfannemüller et al [16] propose a model-based runtime environment for implementing self-adaptive capabilities in communication systems by using Clafer models for modeling adaptation options and using a target system specification for defining the solution space of the system. The system does not take into account cost for a reconfiguration of the system and performs adaptations reactively.…”

Section: Related Workmentioning

confidence: 99%

Applying Reconfiguration Cost and Control Pattern Modeling to Self-Adaptive Systems

Matthé

2022

2022 IEEE/ACM 44th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)

View full text Add to dashboard Cite

Self-adaptive systems have become a popular research topic to overcome challenges of developing highly complex, interconnected, and heterogeneous systems and networks. These systems aim to autonomously adapt to a changing environment by adapting system behavior or composition to improve performance. Many selfadaptive systems are designed in a purely reactive way and without considering costs that may be incurred by performing adaptation. This thesis therefore aims to develop an approach for proactive self-adaptive systems and evaluate the impact of reconfiguration cost and proactive adaptation in an edge computing system. Additionally the autonomous adaptation of different control patterns for centralized or decentralized control will be explored and evaluated. This thesis proposes to extend feature models, as used in dynamic software product lines, with modeling for reconfiguration cost and of uncertainty in the system's environment.

show abstract