Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/10429
Title: A fuzzy-based service adaptation middleware for context-aware computing
Authors: Cheung, R
Cao, J 
Yao, G
Chan, A 
Keywords: Context-aware
Fuzzy theory
Middleware infrastructure
Mobile computing
Service adaptation
Issue Date: 2006
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2006, v. 4096 LNCS, p. 580-590 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
Abstract: In a mobile environment, it is desirable for mobile applications to adapt their behaviors to the changing context. However, adaptation mechanism may emphasize more on overall system performance, while neglecting the needs of individual. We present a generalized Adaptive Middleware Infrastructure (AMI) to cater for individual needs in a fair manner, while maintaining optimal system performance. Furthermore, due to the vagueness in context nature and uncertainty in context aggregation for adaptation, we propose a Fuzzy-based Service Adaptation Model (FSAM) to achieve generality and improve the effectiveness of service adaptation. By fuzzification of the context and measuring the fitness degree between the current context and the optimal situation, FSAM adopts the most appropriate service. We have evaluated the FSAM inference engine within the middleware AMI by an application Campus Assistant. The performance is analyzed and compared with a conventional threshold-based approach.
Description: Best Poster Award
URI: http://hdl.handle.net/10397/10429
ISBN: 3540366792
9783540366799
ISSN: 0302-9743 (print)
1611-3349 (online)
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