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Towards Highly Performant Context Awareness in the Internet of Things

. Distributed Computing and Artificial Intelligence, Special Sessions, 19th International Conference, 583, page 165--170. Springer Link, (February 2023)Publisher Copyright: © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG..
DOI: 10.1007/978-3-031-23210-7_17

Abstract

Context awareness and adaption are an important requirement for data streaming applications in the Internet of Things (IoT). Concept drift arises under changing context and many solutions for drift detection and system adaption have been developed in the past. Even though the computing resources of these approaches are not negligible, performance aspects, e.g. runtime or memory usage and scalability have not been investigated adequately. The goal of this thesis is to fill this gap and to provide a mean for performance investigations of concept drift handling methods and other approaches that are developed in the research field Data Science. T…(more)

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