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Context Reduction for Context-aware Pervasive Applications
PhD Qualifying Examination Title: "Context Reduction for Context-aware Pervasive Applications" Mr. Chunlin Zhu Abstract: Pervasive computing applications integrate context processing and adaptation into anywhere, anytime life. To assist users in accessing and analyzing contexts which capture the characteristics of the applications' computing environments, pervasive applications are deployed widely in a richness and heterogeneity of resource-constrained devices. These applications are also featured by the context-awareness capability which enables applications to adapt to the ever-changing environments continually. However, due to the dynamic environmental interference and the limited computing resources such as typically narrow bandwidth, short-durable battery power, and low-level processing capability, contexts acquired from pervasive devices have to be reduced in volume to be successfully transmitted and further utilized by context-aware applications. According to our observations, the context reduction process inevitably changes the original context streams and may consequently yield significant impact on the applications. However, there is limited related work focused on this issue. To bridge the gap, this report summarizes context-aware pervasive applications and the infrastructure support for context reduction in context-aware middleware infrastructures. After that, this report further divides context reduction into four sub-categories and surveys the state-of-the-art approaches employed in each sub-category. Strengths and limitations of these approaches and potential impact introduced will also be discussed in this report. Finally, we present our preliminary work and future research direction. Date: Monday, 22 December 2008 Time: 10:00a.m.-12:00noon Venue: Room 3501 lifts 25-26 Committee Members: Dr. Shing-Chi Cheung (Supervisor) Dr. Yunhao Liu (Chairperson) Dr. Zonghua Gu Dr. Charles Zhang **** ALL are Welcome ****