4th PhD School on Traffic Monitoring and Analysis (TMA), 2014

Organizers: 

Dario Rossi, Chair (tma2014-phd-school@listes.telecom-paristech.fr)

Sabri Zaman, Local chair (sabri.zaman@qmul.ac.uk)

Hamed Saljooghinejad, Local chair&Webmaster (h.saljooghinejad@qmul.ac.uk)

Speakers:

Timur Friedman, Jordan Auge  and Marc-Olivier Buob (Université Pierre et Marie Curie)

Benoit Donnet and Korian Edeline (Université de Liege)

Renata Teixeira and Anna-Kaisa Pitilainen (Inria)

Alessandro Finamore (Politecnico di Torino)

Dates and venue:

April 15th-16th, London UK

Colocated with the 6th TMA Workshop, held the April 14th

http://networks.eecs.qmul.ac.uk/news/tma-2014

Application:

Please refer to following URL:

Closed

Application is free of charge and entitles participation to the TMA Workshop

Application deadline: March 12th

Location:

Room: People’s Palace 2 (PP2), School of EECS at Queen Mary University of London, Mile End Road, London E1 4NS, United Kindom

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The 4th PhD school on Traffic Monitoring and Analysis (TMA),  continues the traditional blend of theory and practice initiated by the three former editions (see the TMA portal http://www.tma-portal.eu/cost-tma-action/phd-schools/ ). Talks will be followed by hands on laboratory sessions where PhD students will have the chance to put in practice cutting-edge methodologies they just have been exposed to — aiming at reinforcing the learning process and drive down the cost to start new research work in the TMA domain. This year school will cover both passive and active measurement techniques, with emphasis  on inference of network behavior, possibly at scale, covering the whole value chain of the Internet ecosystem.

In the current Internet, users access  Cloud based applications through Web browsers or smartphone apps. The overall user experience depends on different and independently operated network segments and software tools:  so that the overall path from the household to the Cloud starts from an home network and traverse several autonomous systems, before finally hitting the data center or content distribution node. It follows that to assess the quality of user experience, and troubleshoot issues that potentially arise at any step in the path, a multitude of methodologies are needed.

For example, problems may be local to the user home (e.g., bufferbloat), or in the path (e.g., failing or misconfigured equipment),  or in the datacenter (e.g., faraway Cloud node). Techniques and tools learnt throughout the school will allow students to detect Cloud applications that are using anycast addresses by leveraging multiple vantage points. They will reveal and fingerprint intermediate routers in the paths to the Cloud. They will assess application performance from the edge, either by peeking through the user browser, or by passive inspection of the traffic from network links.

The PhD school will take place right after the TMA conference and school attendees will have the chance to follow the TMA workshop at no cost. Additionally, by means of  poster sessions, will give PhD students a chance to present their ongoing work to TMA attendees and take valuable feedback. Finally, participants can share her/his research with peers and specialized professors during practical sessions with the aim of advancing her/his own project and consolidating a network of practitioners and scholars in the TMA field.

Program 

Schedule

	Apr 14th	Apr 15th	Apr 16th
9h – 10h	TMA Workshop	Theory I Achieving scale	Theory III Passive inference
10h -12h	TMA Workshop	Lab I	Lab III
12h – 14h	Student Poster session during TMA workshop	Student Poster session during buffet lunch	Student Poster session during buffet lunch
14h – 15h	TMA workshop	Theory II Active Inference	Theory IV Close to users
15h – 17h	TMA workshop	Lab II	Lab IV
	Social Event

• Active inference: Revealing Middleboxes with Tracebox

  • Benoit Donnet and Korian Edeline (Université de Liege)

• Achieving scale:  Large scale active measurement from PlanetLab

  • Jordan Auge  and Marc-Olivier Buob (Université Pierre et Marie Curie) 

• Passive inference: Troubleshooting the Cloud with Tstat

  • Alessandro Finamore (Politecnico di Torino) 

• Close to users: Performance measurement via Fathom

  • Renata Teixeira and Anna-Kaisa Pitilainen (Inria)