BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:The Rise of Augmented Intelligence in Edge Networks - Chenren Xu (
 Peking University)
DTSTART:20171005T100000Z
DTEND:20171005T110000Z
UID:TALK72810@talks.cam.ac.uk
CONTACT:Liang Wang
DESCRIPTION:Edge networks have been historically serving as the ordinary d
 ata pipe as part of the Internet\, but recently are expected to play incre
 asingly critical roles for benefiting mobile/IoT applications in terms of 
 lower the response time and energy consumption due to its proximity to the
  end devices. In this talk\, we present two systems which coin this vision
  and demonstrate the potentials and benefits of the "augmented intelligenc
 e” when deployed at the network edge. The first system is called Passive
 VLC\, which is based on the idea of modulating the light retroreflection w
 ith a commercial LCD shutter to realize a passive optical transmitter and 
 thus visible light backscatter communication. PassiveVLC system enables a 
 battery-free tag device to perform passive communication with the illumina
 ting LEDs over the same light carrier\, is flexible with tag orientation\
 , robust to ambient lighting conditions\, and can achieve up to 1 kbps upl
 ink speed. The second system\, SoftStage\, is a client-edge cooperative mi
 ddleware that effectively leverages and manages in-network caching and ser
 vices to perform reactive content staging to improve vehicular content del
 ivery 1.5~10x without any assumption about the client mobility pattern.  
  \n \nBio Dr. Chenren Xu received his Ph.D. from Rutgers University\, and 
 his B.E. from Shanghai University. He has held postdoctoral and visiting p
 ositions at Carnegie Mellon University and AT&T Labs. He is the recipient 
 of Gold Medal of Samsung Best Paper Award\, Best Paper Nominee Award of AC
 M UbiComp’14 and Best Poster Award of ACM SenSys’11. His research in
 terests focus on wireless networking from the system perspective\, includi
 ng high mobility data networking for high-speed train/vehicle\, low-power 
 visible light communication for IoT/M2M and affective computing for health
 /expressiveness monitoring.\n\n
LOCATION:FW11\, Computer Laboratory\, William Gates Building
END:VEVENT
END:VCALENDAR