An overview of design patterns for self-adaptive systems in the context of the internet of things

C. Krupitzer, T. Temizer, T. Prantl, C. Raibulet

Research output: Contribution to JournalReview articleAcademicpeer-review

Abstract

© 2020 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.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.
Original languageEnglish
Pages (from-to)187384-187399
JournalIEEE Access
Volume8
DOIs
Publication statusPublished - 2020
Externally publishedYes

Funding

This work was supported by the Open Access Publication Fund of the University of Würzburg.

FundersFunder number
Julius-Maximilians-Universität Würzburg

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