Yongchun Xu/en

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Efficient Context-aware Real-time Processing of Personal Data Streams

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In this work I propose a framework for the development of innovative mobile applications that are context-aware in processing of real-time personal data streams by taking into account the resource limitation on mobile devices, in order to achieve an efficient processing of real-time sensor data on mobile devices for various use cases. I present an innovative event-driven hybrid software architecture for data-intensive mobile applications, in order to extend processing capability by using an additional backend server. Furthermore, I present context-aware monitoring models with the purpose of relating real-time personal data with personal context and domain knowledge. The approach of data collaboration enables collaborative personal data processing. I also discuss an approach for resource-aware dynamic pattern distribution to achieve a more efficient pattern distribution regarding available resources of mobile devices. The semantic-based dynamic pattern management uses semantic technologies to manage patterns and event resources and in order to achieve real-time adaptation to event resource changes.

(Dipl.-Inform. Yongchun Xu)

Start: 2014-06-06 at 2:00 pm
End: 2014-06-06 at 3:00 pm

Building: 11.40, Room: 231

iCal event: (iCal)

Host: Research group Web Science

Download: Media:2Yongchun Xu.6 6.14.pdf