Service Self-Contextualization in Cyber-Physical Systems based on Context Modeling and Context Variation

Smirnov, Alexander V. and Sandkuhl, Kurt and Shilov, Nikolay and Teslya, Nikolay (2018) Service Self-Contextualization in Cyber-Physical Systems based on Context Modeling and Context Variation. In: 17th International Conference Perspectives in Business Informatics Research (BIR 2018), 24-26 Oct, Stockholm, Sweden.

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Abstract

Internet-of Things (IoT) and Cyber-Physical Systems (CPS) are considered as the key elements of the next industrial revolution. Operation and configuration of such systems require new approaches for managing the variability at design time and the dynamics at runtime, which is caused by changing application environments. The paper proposes to integrate concepts for variability management with context modelling and self-organization in intelligent systems. Self-contextualization is used to adapt behaviors of multiple services to the current situation and context variants for delimiting the extent of adaptation options. The main contributions are an analysis of variability challenges in IoT/CPS based on an industrial case, the concept of context variants as contribution to manage variability and an initial validation using a case study.

Item Type: Conference or Workshop Item (Paper)
Depositing User: Nikola Ivanovic
Date Deposited: 05 Apr 2019 13:48
Last Modified: 05 Apr 2019 13:48
URI: http://eprints.win.informatik.uni-rostock.de/id/eprint/640

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