Active Rule System for Adaptive Mobile Data Access

We advocate the employment of active rule systems for adaptive mobile information services. We propose a modular framework and a mobile rule processing technique with database connectivity. The technique combines static and dynamic analysis to uncover data access semantics of a rule program which facilitates intelligent caching and pre-fetching to conserve bandwidth, reduce processing cost, and support disconnected operations. We devise a performance model to compare our approach with traditional approach. Trace-driven simulation successfully demonstrates the feasibility and performance improvement.