A mobile context monitoring platform for dynamic mobile computing environments

December 2, 2011
Junehwa Song | Korea Advanced Institute of Science and Technology (KAIST)

In this talk, we present a new mobile platform to support emerging context-aware applications in a dynamic mobile computing environment. Composed of a mobile device and many wearable and space-embedded sensors, the personal mobile computing environment will constitute an important part of future pervasive spaces. Also, the applications will be highly proactive, requiring continuous monitoring of users’ contexts. The monitoring imposes heavy workloads on the mobile device and the sensor nodes with highly limited computing and battery power. A mobile platform should support such applications to simultaneously run and share highly scarce and dynamic resources. Our system develops a scalable and energy-efficient monitoring architecture for sensor-rich mobile environments. It provides efficient processing and sensor control mechanisms, and effectively performs the monitoring for a number of applications. Also, actively interplaying between applications and resources, it coordinates multiple applications to effectively share the limited resources. It enables the applications to fully exploit the capacity of overall system resources and provide quality services to users. We implement and test a prototype system on multiple mobile devices: Google android phone, a UMPC, a wearable device, and Nokia N96 with a diverse set of sensors. Example applications are also developed based on the implemented system. Experimental results show that the platform achieves a high level of scalability and energy efficiency.

Speaker Details

Junehwa Song is a professor at the Department of Computer Science and KAIST chair professor, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea. Before joining KAIST, he worked at IBM T.J. Watson Research Center, Yorktown Heights, NY from 1994 to 2000. He received his Ph.D. in Computer Science from University of Maryland at College Park in 1997. His research interest includes Mobile and Pervasive Computing Systems, Internet Systems Technologies, Cloud computing, Multimedia Services, etc.