A Conceptual Architecture for Enabling Future Self-Adaptive Service Systems

dc.contributor.author Burzlaff, Fabian
dc.contributor.author Bartelt, Christian
dc.date.accessioned 2019-01-03T01:01:15Z
dc.date.available 2019-01-03T01:01:15Z
dc.date.issued 2019-01-08
dc.description.abstract Dynamic integration methods for unknown data sources and services at system design time are currently primarily driven by technological standards. Hence, little emphasis is being placed on integration methods. However, the combination of heterogeneous data sources and services offered by devices across domains is hard to standardize. In this paper, we will shed light on the interplay of self-adaptive system architectures as well as bottom-up, incremental integration methods relying on formal knowledge bases. An incremental integration method has direct influences on both the system architecture itself and the way these systems are engineered and operated during design and runtime. Our findings are evaluated in the context of a case study that uses an adapted bus architecture including two tool prototypes. In addition, we illustrate conceptually how control loops such as MAPE-K can be enriched with machine-readable integration knowledge.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2019.899
dc.identifier.isbn 978-0-9981331-2-6
dc.identifier.uri http://hdl.handle.net/10125/60184
dc.language.iso eng
dc.relation.ispartof Proceedings of the 52nd Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Software Development for Self-Adaptation in Services, Wearables, and IoT Devices
dc.subject Software Technology
dc.subject Knowledge-driven Architecture Composition, Integration Knowledge, Self-Adaptive Systems, Internet of Things
dc.title A Conceptual Architecture for Enabling Future Self-Adaptive Service Systems
dc.type Conference Paper
dc.type.dcmi Text
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