Analysis of metamodels for model‐based production automation system engineering

Cha, Suhyun; Vogel‐Heuser, Birgit; Fischer, Juliane

doi:10.1049/iet-cim.2020.0013

Cited by 5 publications

(1 citation statement)

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“…Caesar et al [52] discusses research challenges related to the adaptiveness of systems required in the IIoT. Cha et al [53] analyses and compares meta-model for model-based smart production systems. In [54], the authors present an architecture for event-driven manufacturing information systems following the Industry 4.0 vision.…”

Section: Related Workmentioning

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: Related Workmentioning

confidence: 99%