iShadow: Yet Another Pervasive Computing Environment

Daqiang Zhang, Hu Guan, Jingyu Zhou, Feilong Tang, Minyi Guo

Abstract: Previous architectures of pervasive computing are customized for specific types of applications. In this paper, we propose a new architecture named iShadow, which facilitates the design and implementation of generic applications in pervasive computing environment. iShadow gracefully integrates physical spaces and human attention, and provides fundamental and flexible support to construct pervasive applications rapidly. Significant differences of iShadow from previous works are lightweight user-shadow model, scalable resource discovery and potent context inference mechanism. Our prototypes demonstrate that the iShadow architecture is robust, feasible and effective for pervasive applications.