BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//wp-events-plugin.com//7.2.3.1//EN
BEGIN:VEVENT
UID:308@lincs.fr
DTSTART;TZID=Europe/Paris:20170517T150000
DTEND;TZID=Europe/Paris:20170517T160000
DTSTAMP:20170512T074811Z
URL:https://www.lincs.fr/events/high-capacity-wireless-networks-architectu
 res-through-collaboration-and-intelligent-information-storage/
SUMMARY:High capacity wireless networks architectures through collaboration
 and intelligent information storage
DESCRIPTION:\n\n\nAbstract:\nA significant portion of today's network
 traffic is due to recurring downloads of popular content (e.g.\, movies\,
 video clips and daily news). It has been observed that replicating the
 latter in caches installed at the network edge -close to the users- can
 drastically reduces network bandwidth usage and improve content access
 delay. The key technical issues in emergent caching architectures relate to
 the following questions: where to install caches\, what content and for how
 long to cache\, and how to manage the routing of content within the
 network. In this talk\, an overview of caching is provided\, starting with
 generic architectures that can be applied to different networking
 environments\, and moving to emerging architectures that enable caching in
 wireless networks (e.g.\, at cellular base stations and WiFi access
 points). Novel challenges arise in the latter due to the inadequacy of
 wireless resources and their broadcast nature\, the frequent hand-offs
 between different cells for mobile users\, as well as the specific
 requirements of different types of user applications\, such as video
 streaming. We will present our recent results on innovative caching
 approaches that (i) harvest idle user-owned cache space and bandwidth\,
 (ii) leverage the broadcast nature of the wireless medium to serve
 concurrent requests for content (iii) exploit the regularity of user
 mobility patterns\, and (iv) apply advanced video encoding techniques to
 support multiple video qualities (e.g.\, screen sizes\, frame rates\, or
 signal-to-noise ratio (SNR) qualities). These are cutting-edge approaches
 that can achieve significant performance and cost-reduction benefits over
 the state-of-the-art methods.\n\n\nBiography:\nLeandros Tassiulas is the
 John C. Malone Professor of Electrical Engineering at Yale University. His
 research interests are in the field of computer and communication networks
 with emphasis on fundamental mathematical models and algorithms of complex
 networks\, architectures and protocols of wireless systems\, sensor
 networks\, novel internet architectures and experimental platforms for
 network research. His most notable contributions include the max-weight
 scheduling algorithm and the back-pressure network control policy\,
 opportunistic scheduling in wireless\, the maximum lifetime approach for
 wireless network energy management\, and the consideration of joint access
 control and antenna transmission management in multiple antenna wireless
 systems. Dr. Tassiulas is a Fellow of IEEE (2007). His research has been
 recognized by several awards including the IEEE Koji Kobayashi computer and
 communications award 2016\, the inaugural INFOCOM 2007 Achievement Award
 "for fundamental contributions to resource allocation in communication
 networks\," the INFOCOM 1994 best paper award\, a National Science
 Foundation (NSF) Research Initiation Award (1992)\, an NSF CAREER Award
 (1995)\, an Office of Naval Research Young Investigator Award (1997) and a
 Bodossaki Foundation award (1999). He holds a Ph.D. in Electrical
 Engineering from the University of Maryland\, College Park (1991). He has
 held faculty positions at Polytechnic University\, New York\, University of
 Maryland\, College Park\, and University of Thessaly\, Greece.\n\n\n
CATEGORIES:Seminars
LOCATION:LINCS Seminars room\, 23\, avenue d'Italie\, Paris\, 75013\,
 France
GEO:48.828400;2.356897
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=23\, avenue d'Italie\,
 Paris\, 75013\, France;X-APPLE-RADIUS=100;X-TITLE=LINCS Seminars
 room:geo:48.828400,2.356897
END:VEVENT
BEGIN:VTIMEZONE
TZID:Europe/Paris
X-LIC-LOCATION:Europe/Paris
BEGIN:DAYLIGHT
DTSTART:20170326T030000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
END:DAYLIGHT
END:VTIMEZONE
END:VCALENDAR