BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//wp-events-plugin.com//7.2.3.1//EN
BEGIN:VEVENT
UID:775@lincs.fr
DTSTART;TZID=Europe/Paris:20230612T130000
DTEND;TZID=Europe/Paris:20230612T160000
DTSTAMP:20230601T084341Z
URL:https://www.lincs.fr/events/phd-thesis-defense-by-matthieu-gouel-inter
 net-scale-route-tracing-capture-and-analysis/
SUMMARY:PhD thesis defense by Matthieu Gouel "Internet-Scale Route Tracing
 Capture and Analysis"
DESCRIPTION:The Internet is one of the most remarkable human creations\,
 enabling com-\nmunication among about two thirds of the global population.
 This network\nof networks spans the entire globe and is managed in a highly
 decentralized\nway\, making it impossible to fully comprehend at IP-level.
 Nonetheless\, for\nover two decades\, researchers have been devising new
 techniques\, developing\nnew tools\, and creating new platforms to capture
 and provide more precise\nand comprehensive maps of the Internet’s
 topology. These e?orts support\nnetwork operators in the industry and other
 researchers in improving core\nfeatures of the Internet such as its
 connectivity\, performance\, security\, or\nneutrality.\nThis thesis
 presents new contributions that improve the scalability of\nInternet
 topology measurement. It introduces a state of the art
 measurement\nplatform that enables the use of high-speed probing techniques
 for IP route\ntracing at Internet scale\, as well as a reinforcement
 learning approach to\nmaximize the discovery of the Internet topology.
 Because the analysis of the\nroute tracing data collected requires
 additional metadata\, the evolution of\nIP address geolocation over a
 10-year period in a widely used proprietary\ndatabase is examined\, and
 lessons are provided to avoid biases in studies\nusing this database.
 Finally\, a large-scale analysis framework is developed to\neffectively
 utilize the large number of collected data and augmented metadata\nfrom
 other sources\, such as IP address geolocation\, to produce
 insightful\nstudies at the Internet scale.\nThis work aims to considerably
 improve the study of the Internet topology\nby providing tools to collect
 and analyze large amounts of Internet topology\ndata. This will allow
 researchers to better understand how the Internet is\nstructured and how it
 evolves over time\, leading to a more comprehensive\nunderstanding of this
 complex system.
CATEGORIES:PhD Defense
LOCATION:Jussieu\, Room 24-25/405-SOC\, 4 place Jussieu\, Paris\, 75005\,
 France
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=4 place Jussieu\, Paris\,
 75005\, France;X-APPLE-RADIUS=100;X-TITLE=Jussieu\, Room
 24-25/405-SOC:geo:0,0
END:VEVENT
BEGIN:VTIMEZONE
TZID:Europe/Paris
X-LIC-LOCATION:Europe/Paris
BEGIN:DAYLIGHT
DTSTART:20230326T030000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
END:DAYLIGHT
END:VTIMEZONE
END:VCALENDAR