Efficient Context-aware Real-time Processing of Personal Data Streams
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: 06. Juni 2014 um 14:00
Ende: 06. Juni 2014 um 15:00
Im Gebäude 11.40, Raum: 231
Veranstaltung vormerken: (iCal)