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SUMMARY:A mobile context monitoring platform for PAN-scale dynamic mobile 
 computing environments - Junhwa Song (KAIST)
DTSTART:20101001T130000Z
DTEND:20101001T140000Z
UID:TALK26621@talks.cam.ac.uk
CONTACT:Eiko Yoneki
DESCRIPTION:Abstract: \nIn this talk\, we present a new mobile platform to
  support emerging pervasive applications in a PAN-scale dynamic mobile com
 puting environment.\nComposed of a mobile device and many wearable and spa
 ce-embedded sensors\, the PAN-scale computing environment will constitute 
 an important part of future pervasive spaces. Also\, the applications will
  be highly proactive\, requiring continuous monitoring of users’ context
 s. The monitoring imposes heavy workloads on the mobile device and the sen
 sor nodes with highly limited computing and battery power. A mobile platfo
 rm should support a number of such applications to simultaneously run and 
 share highly scarce and dynamic resources. Our system develops a scalable 
 and energy-efficient monitoring architecture for PAN-scale sensor-rich mob
 ile environments. It provides efficient processing and sensor control mech
 anisms\, and effectively performs the monitoring for a number of applicati
 ons. Also\, actively interplaying between applications and resources\, it 
 coordinates multiple applications to effectively share the limited resourc
 es. It enables the applications to fully exploit the capacity of overall s
 ystem resources and provide quality services to users. We implement and te
 st a prototype system on multiple mobile devices: a UMPC\, a wearable devi
 ce\, and Nokia N96\, Google android phone with a diverse set of sensors. E
 xample applications are also developed based on the implemented system.\nE
 xperimental results show that Orchestrator achieves a high level of scalab
 ility and energy efficiency. \n\nSpeaker’s bio: Junehwa Song is an assoc
 iate professor\, Department of Computer Science\, 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 fr
 om 1994 to 2000. He received his Ph.\nD. in Computer Science from Universi
 ty of Maryland at College Park in 1997.\nHis research interest includes Mo
 bile and Pervasive Computing Systems\, Internet Systems Technologies\, Clo
 ud computing\, Multimedia Services.\n
LOCATION:FW11\, Computer Laboratory\, William Gates Builiding
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