Bibliograph. Daten | Wolf, Hannes; Palauro, Jonas; Herrmann, Klaus: Fuzzy Event Assignment for Robust Context-Aware Workflows. In: IARIA (Hrsg): Proceedings of The Fourth International Conference on Dependability (DEPEND 2011). Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik. S. 37-42, englisch. Nice/Saint Laurent du Var, France: IARIA, 21. August 2011. ISBN: 978-1-61208-149-6. Artikel in Tagungsband (Konferenz-Beitrag).
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Körperschaft | IARIA |
CR-Klassif. | 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 |
Kurzfassung | 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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Volltext und andere Links | PDF (254644 Bytes)
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Copyright | Copyright (c) IARIA, 2011 |
Abteilung(en) | Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Verteilte Systeme
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Projekt(e) | ALLOW
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Eingabedatum | 12. Oktober 2011 |
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