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Fuzzy Event Assignment for Robust Context-Aware Workflows

Authors:
Hannes Wolf
Jonas Palauro
Klaus Herrmann

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.

Pages: 37 to 42

Copyright: Copyright (c) IARIA, 2011

Publication date: August 21, 2011

Published in: conference

ISSN: 2308-4324

ISBN: 978-1-61208-149-6

Location: Nice/Saint Laurent du Var, France

Dates: from August 21, 2011 to August 27, 2011