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The Computer Journal Advance Access published online on January 31, 2008
The Computer Journal, doi:10.1093/comjnl/bxm113
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© The Author 2008. Published by Oxford University Press on behalf of The British Computer Society. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

A Rule-based Method for Improving Adaptability in Pervasive Systems

Jinjiao Lin1,*, Chengxiang Song2 and Haiyang Wang1

1 School of Computer Science and Technology, Shandong University, Jinan, PR China
2 Shandong Province Education Department, Jinan, PR China

* Corresponding author: ljj{at}sdpec.edu.cn

Received 21 February 2007; revised 2 November 2007

There are two types of dynamic elements in a pervasive system: the first is where a context varies with shifting environments, and the second is where variables are defined by the dynamic requirements of an application. This makes improving adaptability to dynamic change an important topic in pervasive systems research. Currently, most of the efforts targeting improvements in adaptability focus on context-related issues, other variables being simply encoded in the program directly. This ignores the dynamic complexity of a pervasive system, resulting in poor system adaptability. In this paper, we propose a rule-based method in which the two types of change are separated from the program code. The changes are then stored and processed by means of corresponding rules. In our new method when a change occurs, the system needs only to modify the rules rather than the program code. This makes a pervasive system more robust in its adaptability to dynamic change. Experiments and examples are provided to evaluate the feasibility of the proposed method.

Key Words: pervasive computing • adaptability • business rules


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