Internet Measurement

Internet Measurement Reading Group

Date/Time Talk details
01/12/2021
10:45 am - 12:00 pm
Matthieu Gouel - MPLS in Internet topologies
Paris-Rennes Room (EIT Digital), 75013 Paris
10/11/2021
10:45 am - 12:00 pm
Maxime Mouchet - HLOC: Hints-based geolocation leveraging multiple measurement frameworks
Paris-Rennes Room (EIT Digital), 75013 Paris
20/10/2021
10:45 am - 12:00 pm
Ludovic Noirie - PCAP tools for practical traffic monitoring in LAN
Paris-Rennes Room (EIT Digital), 75013 Paris
23/06/2021
1:45 pm - 3:00 pm
Kévin Vermeulen - Reverse Traceroute
02/06/2021
10:45 am - 12:00 pm
Emeline Maréchal - ISP Probing Reduction with Anaximander
12/05/2021
10:45 am - 12:00 pm
Maxime Mouchet - Networking on the Move
21/04/2021
10:45 am - 12:00 pm
Maxime Mouchet - Reduce, Reuse, Recycle: Repurposing Existing Measurements to Identify Stale Traceroutes
31/03/2021
10:45 am - 12:00 pm
Matthieu Gouel - Classification of Load Balancing in the Internet

Presentation

Topic: Internet Measurement.

Audience: The reading group is mainly intended for researchers in computer science, but anyone can attend online.

Practical details: The sessions are held every third Wednesday from 11:00 am to 12:00 pm (Central European Time), in the premises of the Lincs and online. To receive the invitations, register to the mailing list. Videos, slides and notebooks of previous sessions are on the website.

Coordinators: Matthieu Gouel (matthieu.gouel@lip6.fr) and Maxime Mouchet (maxime.mouchet@lip6.fr).

Description:

In the Internet Measurement reading group, members share their readings with other members. The speaker may present a paper, a book chapter, a set of papers, or prepare an introduction course to a given topic.

The topics of interest, include, but are not limited to, those of the Internet Measurement Conference (IMC):

  • collection and analysis of data that yield new insights about network structure and network performance (e.g., traffic, topology, routing, energy utilization, performance)
  • collection and analysis of data that yield new insights about application and end-user behavior (e.g., economics, privacy, security, application interaction with protocols)
  • measurement-based modeling (e.g., workloads, scaling behavior, assessment of performance bottlenecks, causality)
  • methods and tools to monitor and visualize network-based phenomena
  • systems and algorithms that build on measurement-based findings
  • novel methods for data collection, analysis, and storage (e.g., anonymization, querying, sharing)
  • reappraisal of previous empirical network measurements and measurement-based conclusions
  • descriptions of challenges and future directions the measurement community should pursue