Bibliography | Wolf, Hannes; Palauro, Jonas; Herrmann, Klaus: Fuzzy Event Assignment for Robust Context-Aware Workflows. In: IARIA (ed.): Proceedings of The Fourth International Conference on Dependability (DEPEND 2011). University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology. pp. 37-42, english. Nice/Saint Laurent du Var, France: IARIA, August 21, 2011. ISBN: 978-1-61208-149-6. Article in Proceedings (Conference Paper).
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Corporation | IARIA |
CR-Schema | H.4.1 (Office Automation) I.2.3 (Deduction and Theorem Proving)
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Keywords | context-aware workflows, dependable event assignment, fuzzy logic |
Abstract | The dependability of any kind of context-aware pervasive system inherently relies on the ability to detect and recognize context events robustly. However, due to the inaccuracy of real-world sensors the accurate recognition and handling of context information is a fundamental problem leading to ambiguities and inconsistent behavior of applications. Adaptable Pervasive Flows (APF) are a novel workflow-based programming paradigm for pervasive applications. An APF encodes the temporal dependencies of a user’s tasks. We propose a Fuzzy Event Assignment (FEvA) algorithm that exploits this flow-knowledge to significantly improve the robustness of context-aware pervasive applications by resolving the ambiguities inherent to the context data. Our experiments show that FEvA reaches an event assignment accuracy of 78% to 97% and improves the performance of dealing with false positive, out-of-order events, and missed context information.
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Full text and other links | PDF (254644 Bytes)
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Copyright | Copyright (c) IARIA, 2011 |
Department(s) | University of Stuttgart, Institute of Parallel and Distributed Systems, Distributed Systems
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Project(s) | ALLOW
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Entry date | October 12, 2011 |
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