Context-Aware Querying and Injection of Process Fragments in Process-Aware Information Systems

Kammerer, Klaus and Pryss, Rüdiger and Reichert, Manfred (2020) Context-Aware Querying and Injection of Process Fragments in Process-Aware Information Systems. In: 24th Int'l Enterprise Distributed Object Computing Conference (EDOC 2020), 5 - 8 October 2020, Eindhoven, The Netherlands.

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Cyber-physical systems (CPS) are often customized to meet customer needs and, hence, exhibit a large number of hard-/software configuration variants. Consequently, the processes deployed on a CPS need to be configured to the respective CPS variant. This includes both configuration at design time (i.e., before deploying the implemented processes on the CPS) and runtime configuration taking the current context of the CPS into account. Such runtime process configuration is by far not trivial, e.g., alternative process fragments may have to be selected at certain points during process execution of which one fragment is then dynamically applied to the process at hand. Contemporary approaches focus on the design time configuration of processes, while neglecting runtime configuration to cope with process variability. In this paper, a generic approach enabling context-aware process configuration at runtime is presented. With the Process Query Language process fragments can be flexibly selected from a process repository, and then be dynamically injected into running process instances depending on the respective contextual situations. The latter can be automatically derived from context factors, e.g., sensor data or configuration parameters of the given CPS. Altogether, the presented approach allows for a flexible configuration and late composition of process instances at runtime, as required in many application domains and scenarios.

Item Type:Conference or Workshop Item (Paper)
Subjects:DBIS Research > Publications
ID Code:1951
Deposited By: Klaus Kammerer
BibTex Export:BibTeX
Deposited On:28 Sep 2020 14:19
Last Modified:11 May 2021 14:59

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