Artikel in Tagungsband INPROC-2011-70

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).
KörperschaftIARIA
CR-Klassif.H.4.1 (Office Automation)
I.2.3 (Deduction and Theorem Proving)
Keywordscontext-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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CopyrightCopyright (c) IARIA, 2011
Abteilung(en)Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Verteilte Systeme
Projekt(e)ALLOW
Eingabedatum12. Oktober 2011
   Publ. Institut   Publ. Informatik