Prediction intelligence in context aware applications

Anagnostopoulos, C., Mpougiouris, P. and Hadjiefthymiades, S. (2005) Prediction intelligence in context aware applications. In: MDM '05, 6th International Conference on Mobile Data Management, Ayia Napa, Cyprus, 9-13 May 2005, pp. 137-141. (doi:10.1145/1071246.1071266)

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Publisher's URL: http://dx.doi.org/10.1145/1071246.1071266

Abstract

Mobile applications are required to operate in ubiquitous environments of dynamic nature. Specifically, the availability of resources and services may vary significantly during a typical session of system operation. As a consequence, mobile applications need to be capable of adapting to these changes to ensure the best possible level of service to the user. Therefore, such adaptive applications may have pre-evaluated the appropriate knowledge of their environment to act efficiently. Such knowledge is not known a priori, so information prediction and proactivity should enhance and extend the functionality of such applications in order to be adaptable to the future changes of their underlying computational environment. In this paper, we discuss and evaluate such a context prediction algorithm.

Item Type:Conference Proceedings
Additional Information:ISBN 1595930418
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Anagnostopoulos, Dr Christos
Authors: Anagnostopoulos, C., Mpougiouris, P., and Hadjiefthymiades, S.
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
College/School:College of Science and Engineering > School of Computing Science
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