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Sequential event pattern based context-aware adaptation

Published: 03 November 2010 Publication History

Abstract

Recent pervasive systems are designed to be context-aware so that they are able to adapt to continual changes of their environments. Rule-based adaptation, which is commonly adopted by these applications, introduces new challenges in software design and verification. Recent research results have identified some faulty or unwanted adaptations caused by factors such as asynchronous context updating, and missing or faulty context reading. In addition, adaptation rules based on simple event models and propositional logic are not expressive enough to address these factors and to satisfy users' expectation in the design. We tackle these challenges at design stage by introducing sequential event patterns in adaptation rules to eliminate faulty and unwanted adaptations with features provided in the event pattern query language. We illustrate our approach using the recent published examples of adaptive applications, and show that it is promising on designing more reliable context-aware adaptive applications.

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cover image ACM Other conferences
Internetware '10: Proceedings of the Second Asia-Pacific Symposium on Internetware
November 2010
159 pages
ISBN:9781450306942
DOI:10.1145/2020723
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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  • Nanjing University of Aeronautics and Astronautics
  • CCF: China Computer Federation

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Association for Computing Machinery

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Published: 03 November 2010

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  1. context-aware adaptation
  2. pervasive computing
  3. sequential event pattern

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Internetware 2010
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  • CCF

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