A Rule-based Method for Improving Adaptability in Pervasive Systems

作者：Lin Jinjiao^*; Song Chengxiang; Wang Haiyang

来源：Computer Journal, 2010, 53(2): 177-190.

DOI：10.1093/comjnl/bxm113

• pervasive computing
• adaptability
• business rules

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.

• 出版日期2010-2
• 单位山东大学