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Towards a conflict resolution approach for collective ubiquitous context-aware systems

Published: 08 November 2010 Publication History

Abstract

Ubiquitous systems are generally embedded into the environment and provide their services all the time and everywhere. In order to increase transparency and personalization, ubiquitous applications are normally context-aware, i.e., they use information about entities of interest to adapt their services. Since they are connected to everyday elements, such systems are frequently shared by two or more users, who may provide conflicting contextual data. Therefore, these systems can reach an inconsistent state, in which they are unable to decide how to perform their intended adaptations. This work proposes a novel methodology that detects and solves conflicts of interest for ubiquitous context-aware applications with different characteristics. Besides, the developed approach considers the trade-off between users' satisfaction and resources consumption in order to select and apply a conflict resolution algorithm. Results obtained through simulations showed that the proposed solution is flexible, dynamic, and able to provide users' satisfaction as well as to save system resources.

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iiWAS '10: Proceedings of the 12th International Conference on Information Integration and Web-based Applications & Services
November 2010
895 pages
ISBN:9781450304214
DOI:10.1145/1967486
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 08 November 2010

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  1. collective conflicts
  2. context-aware ubiquitous computing

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