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- W3113012921 abstract "The growing trend of integrating software processes and the physical world created new paradigms, such as, the Internet of Things and Cyber-Physical Systems. However, as applications of these paradigms are rolled out, the management of their software and hardware components becomes a challenge, e.g., an update of a mobile system must not only consider the software but also the surrounding context, such as, internet connection, current position and speed, or users activities, and therefore must be aware of their current context and situations when executed. The timing of executing management tasks is crucial as the surrounding state of the system and its context must hold long enough to enable robust execution of management tasks. We propose an approach to model software updates in a Situation-Aware manner, enabling to observe context, such as, time, environment, application state and people, hence, enabling to execute update tasks at the right time and in the right time-frame. We implemented our approach based on a train scenario within the OpenTOSCA Ecosystem." @default.
- W3113012921 created "2020-12-21" @default.
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- W3113012921 date "2020-01-01" @default.
- W3113012921 modified "2023-09-27" @default.
- W3113012921 title "Situation-Aware Updates for Cyber-Physical Systems" @default.
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- W3113012921 doi "https://doi.org/10.1007/978-3-030-64846-6_2" @default.
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