Incremental design of adaptive systems

Tomforde, Sven; Müller-Schloer, Christian

doi:10.3233/ais-140252

Cited by 18 publications

(6 citation statements)

References 41 publications

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“…Engineering the managed part of SAS is a challenging task, especially to the gap between design time and runtime [26]. As SAS operate in highly uncertain and dynamic environments, the set of requirements for those systems are often incomplete or even unknown at design time.…”

Section: Self-adaptive Systems In a Nutshellmentioning

confidence: 99%

An Overview of Design Patterns for Self-Adaptive Systems in the Context of the Internet of Things

et al. 2020

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The Internet of Things (IoT) requires the integration of all available, highly specialized, and heterogeneous devices, ranging from embedded sensor nodes to servers in the cloud. The self-adaptive research domain provides adaptive capabilities that can support the integration in IoT systems. However, developing such systems is a challenging, error-prone, and time-consuming task. In this context, design patterns propose already used and optimized solutions to specific problems in various contexts. Applying design patterns might help to reuse existing knowledge about similar development issues. However, so far, there is a lack of taxonomies on design patterns for self-adaptive systems. To tackle this issue, in this paper, we provide a taxonomy on design patterns for self-adaptive systems that can be transferred to support adaptivity in IoT systems. Besides describing the taxonomy and the design patterns, we discuss their applicability in an Industrial IoT case study.

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Section: Self-adaptive Systems In a Nutshellmentioning

confidence: 99%

An Overview of Design Patterns for Self-Adaptive Systems in the Context of the Internet of Things

et al. 2020

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“…This may be necessary due to two reasons. First, complexity and uncertainty may lead to situations that were not foreseeable at design time [83]. Second, environmental changes may necessitate model changes.…”

Section: React's Architecturementioning

confidence: 99%

“…to apply self-improvement. Self-improvement is important as complexity and uncertainty may lead to situations that were not foreseeable at design time [83]. Examples for such situations include a significant change in the system's environment or user group (hence, the users' objectives) or the requirement to add or update adaptation decision rules through learning.…”

Section: Self-improvement With React-ionmentioning

confidence: 99%

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

Pfannemüller

Breitbach

Weckesser

et al. 2020

ACM Trans. Auton. Adapt. Syst.

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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.

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“…These entities are, in turn, ever more autonomous, heterogeneous, and larger in scale, while also operating in increasingly open and dynamic environments. Hence, most of today's systems evolve frequently and continuously over time [1,2], often interacting with changing and even completely novel systems and execution contexts. This leads to the need for an ongoing requirement for systemof-systems integration.…”

Section: Introductionmentioning

confidence: 99%