FESAS IDE: An Integrated Development Environment for Autonomic Computing

Krupitzer, Christian; Roth, Felix; Becker, Christian; Weckesser, Markus; Lochau, Malte; Schürr, Andy

doi:10.1109/icac.2016.49

Cited by 16 publications

(9 citation statements)

References 21 publications

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“…We observe that multiple approaches fulfill these requirements. However, FESAS [47] and HAFLoop [94], for instance, provide excellent support with reusable MAPE components, but do not integrate a decision engine.…”

Section: Engineering Self-adaptive Systemsmentioning

confidence: 99%

“…This helps to foster further research and enables adoption by domain experts in practice. Only a small subset of existing approaches [5,36,47,79,91,94] is available at present. Moreover, a comparative evaluation with other approaches highlights the merits of the particular approach and gives users guidance to select the proper approach for their respective communication system.…”

Section: Engineering Self-adaptive Systemsmentioning

confidence: 99%

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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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Section: Engineering Self-adaptive Systemsmentioning

confidence: 99%

Section: Engineering Self-adaptive Systemsmentioning

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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“…Our coordination system is designed as a self-adaptive system which can adapt the system's resources -here: the robots -autonomously without user interaction [7]. In this paper, we used the Java-based version of the FESAS framework [8] for the implementation of RoCoSys. The framework simplifies the creation and deployment of MAPE components.…”

Section: B Implementation Of Rocosys For Robot Coordinationmentioning

confidence: 99%

“…Developers implement the functionality and algorithms for the MAPE components. FESAS offers the FESAS IDE for both roles which allows to design and implement the adaptation logic using plug-ins for the Eclipse IDE [8]. As RoCoSys uses a centralized adaptation logic, we use the Central Adaptation Logic design pattern that is offered by the FESAS IDE.…”

Section: B Implementation Of Rocosys For Robot Coordinationmentioning

confidence: 99%

RoCoSys: A framework for coordination of mobile IoT devices

Krupitzer

Breitbach

Saal

et al. 2017

2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)

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Mobile IoT devices enable new classes of systems, such as cyber-physical systems. These systems pose challenges as they should seamlessly interact with users and other systems. In this paper, we address the problem of interaction between mobile pervasive IoT devices. Our contributions are threefold. First, we present a concept for a framework for coordination of mobile IoT devices. Second, we implement a reusable robot platform using the Mindstorms toolkit and a customizable adaptation logic for their coordination based on our framework. Third, we show its usability with two applications: an intelligent vehicle highway system as well as a smart vacuum cleaner.

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“…Based on our experience [10], [11] on design patterns [12], [13] and SASs [4], [14]- [16], in this paper we analyze design patterns for SASs under the lenses of their applicability for IoT systems given the commonalities that both share. Our contributions are threefold:…”

Section: Introductionmentioning

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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FESAS IDE: An Integrated Development Environment for Autonomic Computing

Cited by 16 publications

References 21 publications

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

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

RoCoSys: A framework for coordination of mobile IoT devices

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

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