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Dario Rossi <[log in to unmask]>
Wed, 12 Feb 2014 15:39:42 +0100
text/plain (124 lines)
(apologies for cross posting)


              Call for participation to the

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

            Colocated with the 6th TMA Workshop


* Dario Rossi, Chair ([log in to unmask])
* Sabri Zaman, Local chair ([log in to unmask])
* Hamed Saljooghinejad, Local chair & Webmaster 
([log in to unmask])

* Timur Friedman and Jordan Auge (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)

* April 14th-16th, London UK
* Colocated with the 6th TMA Workshop, held the April 14th

*  (application deadline March 12th)
   Application is free of charge and entitles participation to the TMA 
   Be sure to register before the deadline!

* Room Eng.209, School of EECS at Queen Mary University of London, Mile 
End Road, London E1 4NS, United Kingdom


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 )

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.

Detailed program is available at


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 
(travel grants may be available; decision is pending).

During the school, by means of  poster sessions, PhD students will have 
a chance to present their ongoing work to TMA attendees and take 
valuable feedback. Additionally, 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.

At the end of the school, we will release a certificate that will report 
the total number of hours of the school (and the outcome of an optional 
final examination for students that require it). You can use that 
certificate to ask for credits at your institution (in most Universities 
1 credit = 5 hours).

For further information, please visit the PhD School website at

  Oo    Professor
   >     Telecom ParisTech

mail:  [log in to unmask]
phone: +33.1.4581.7563
fax:   +33.1.4581.7158


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