Sequential event pattern based context-aware adaptation

Authors:
Chushu Gao;Jun Wei;Chang Xu;S. C. Cheung
Affiliations:
Institute of Software, Chinese Academy of Sciences, Beijing, China and The Hong Kong University of Science and Technology, Kowloon, Hong Kong, China;Institute of Software, Chinese Academy of Sciences, Beijing, China;Nanjing University, Nanjing, China and The Hong Kong University of Science and Technology, Kowloon, Hong Kong, China;The Hong Kong University of Science and Technology, Kowloon, Hong Kong, China
Venue:
Proceedings of the Second Asia-Pacific Symposium on Internetware
Year:
2010

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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.