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Network Traffic Measurement and Analysis Conference - TMA 2019

Paris, France - June 19-21, 2019
http://tma.ifip.org/2019/
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The surging demand for bandwidth and the increasing heterogeneity of
services are posing substantial new challenges in networking. Emerging
paradigms based on the softwarization, virtualization, cloudification
of the network infrastructures are fostering exciting changes in the
ways we build and manage such systems. In particular, they force us to
re-think traffic measurement and analysis across the whole stack, from
the physical layer up to applications in the Cloud.

The Network Traffic Measurement and Analysis Conference (TMA) aims
at being a highly selective venue for the presentation of early-stage
and mature research - as well as controversial work - on all aspects
of both measurement and analysis of network traffic. The TMA conference
has a strong tradition of open and lively interaction among scientists
and engineers in academia and industry, and serves as a premier forum
to exchange ideas, and present advances over the state-of-the-art.

TMA 2019 invite submissions presenting concepts, experiences, and of
course results in collection, processing, analysis and visualization
of network traffic data, which may address performance enhancement,
monitoring, management, security, privacy or other uses of network
data. The focus is on improving the practice or application of network
measurements across the entire network stack up to application layers,
with an emphasis on new areas of network communication such as Network
Function Virtualization, Software-Defined Networks, Cloud services,
data centers or Content Distribution Networks, towards as to support
innovative services and applications. We also welcome more traditional
measurement topics, such as traffic classification, anomaly detection,
network performance evaluation and traffic analysis.

Topics of interest include, but are not limited to:
- Traffic measurement, analysis, characterization, visualization and classification
- Use of data analytics, data mining, artificial intelligence and machine learning in network measurement and analysis
- Use of big data, high-rate processing and data reduction in network measurement, analysis and visualization
- Measurements of data centers or cloud-based systems
- Measurements of Software-Defined Networks (SDN) and Virtual Network Functions (VNF)
- Measurements of home, mobile and wireless traffic including devices with multiple network paths
- Application-layer measurements, including web services, social networks, mobile applications
- Measurements of quality of service and quality of experience, for network services using audio, video, virtual/augmented reality and gaming
- Measurements of network performance and network structure
- Measurement of traditional and new protocols (e.g. TCP, MPTCP, HTTP/2, QUIC) and modes of communication (e.g. NFC and IoT)
- Measurements on testbeds, experimental networks or prototype networks
- Platforms for measurement, troubleshooting, management, and control of operational networks
- Simulation and modelling for network measurements, analysis and visualization
- Identification and classification of traffic, including encrypted and proprietary protocols
- Techniques for and implications of privacy preservation, enhancement and anonymization in the context of traffic measurements
- Applications of traffic analysis for security, anomaly/vulnerability/attack detection and user profiling/privacy
- Current and emerging regulatory frameworks for measurement, analysis and privacy
- Validation and repeatability of measurements, shared datasets, collaborative platforms

--- Submission guidelines

Authors should only submit original work that has not been published
before and is not under submission to any other venue. Submissions
must not exceed 8 pages in IEEE 2-column style, including references.
Use the standard IEEE Transactions templates for LaTeX or MS Word at
https://www.ieee.org/conferences_events/conferences/publishing/templates.html.

If the paper is typeset in LaTeX, please use an unmodified version of
the LaTeX template IEEEtran.cls version 1.8b, and use the preamble:
\documentclass[10pt, conference, letterpaper]{IEEEtran}
Do not use additional LaTeX commands or packages to override and change
the default typesetting choices in the template, including line spacing,
font sizes, margins, space between the columns, and font types. This
implies that the manuscript must use 10 point Times font, two-column
formatting, as well as all default margins and line spacing requirements
as dictated by the original version of IEEEtran.cls version 1.8b.

If you are using Microsoft Word to format your paper, you should use
an unmodified version of the Microsoft Word IEEE Transactions template
(US letter size).

Regardless of the source of your paper formatting, you must submit your
paper electronically, in Portable Document Format (PDF). The review
process is single-blind, hence include authors' names and affiliations
in the front page of the article. Papers must print clearly and legibly,
including all the figures, on standard black-and-white printers.

Submissions that do not comply with all requirements above will be
rejected without further review.

Papers must be submitted at https://hotcrp.info.ucl.ac.be/tma2019/,
by creating a personal account. The article metadata, including title,
up-to-250-word abstract, and authors list, must be provided before the
paper registration deadline.

Papers accepted for presentation will be published in the IFIP Open
Digital Library, with open access.

-- Important dates

Paper registration: February 8, 2019
Paper submission: February 15, 2019
Author notification: April 15, 2019
Camera ready: May 17, 2019
Conference dates: June 19-21, 2019

-- Organizing committee

General chair
+ Stefano Secci, Cnam (France)

TPC chairs
+ Isabelle Chrisment, Loria (France)
+ Marco Fiore, CNR (Italy)

PhD school chairs
+ Roland van Rijswijk-Deij, University of Twente (The Netherlands)
+ Cristel Pelsser, University of Strasbourg (France)

Demo chairs
+ Luigi Iannone, Telecom ParisTech (France)
+ Xuan Liu, AT&T Labs – Research (USA)
+ José Sanchez, Orange (France)

Sponsorship chairs
+ Pedro Casas, AIT (Austria)
+ Vania Conan, Thales (France)

Keynote chair
+ Jérémie Leguay, Huawei (France)

Publication chairs
+ Keun-Woo Lim, Telecom ParisTech (France)
+ Lionel Tabourier, LIP6 (France)

Publicity chairs
+ Mathieu Bouet, Thales (France)
+ Michele Nogueira, Federal University of Paraná (Brazil)
+ Jin Zhao, Fudan University (China)

Web chair
+ Agathe Blaise, LIP6/Thales (France)

-- Steering committee

+ Pere Barlet-Ros, UPC BarcelonaTech (Spain)
+ Alessio Botta, University of Napoli Federico II (Italy)
+ Christian Callegari, CNIT (Italy)
+ Emir Halepovic, AT&T Labs & Research (USA)
+ Ramin Sadre, Université Catholique de Louvain (Belgium)
+ Sandrine Vaton, Télécom Bretagne (France)
+ Idilio Drago, Politecnico di Torino (Italy)
+ Pedro Casas, AIT Austrian Institute of Technology (Austria)
+ Amogh Dhamdhere, CAIDA UC San Diego (USA)
+ Nur Zincir-Heywood, Dalhousie University (Canada)
+ Anna Sperotto, University of Twente (The Netherlands)
+ Niklas Carlsson, Linköping University (Sweden)

-- Technical program committee

+ Isabel Amigo, Télécom Bretagne (France)
+ Vaibhav Bajpai, TU Munich (Germany)
+ Anna Brunstrom, Karlstadt University (Sweden)
+ Valentín Carela Español, Talaia Networks (Spain)
+ Niklas Carlsson, University of Linkoping (Sweden)
+ Damiano Carra, University of Verona (Italy)
+ Pavel Celeda, Masaryk University (Czech Republic)
+ Kenjiro Cho, IIJ Research Lab (Japan)
+ Alberto Dainotti, CAIDA UC San Diego (USA)
+ Fabio D'Andreagiovanni, CNRS (France)
+ Benoit Donnet, Université de Liège (Belgium)
+ Ram Durairajan, University of Oregon (USA)
+ Andres Garcia Saavedra, NEC Laboratories Europe (Germany)
+ Lisandro Granville, Federal University of Rio Grande do Sul (Brazil)
+ Francesco Gringoli, University of Brescia (Italy)
+ Mehmet Gunes, University of Nevada-Reno (USA)
+ Sanjit Kaul, IIIT-Delhi (India)
+ Matthieu Latapy, LIP6 / CNRS and UPMC (France)
+ Solange Lima, University of Minho (Portugal)
+ Matthew Luckie, University of Waikato (New Zealand)
+ Cristian Lumezanu, NEC Laboratories America (USA)
+ Xiao Luo, Purdue School of Engineering and Technology IUPUI (USA)
+ Andra Lutu, Telefonica Research (Spain)
+ Dwight Makaroff, University of Saskatchewan (Canada)
+ Philippe Owezarski, LAAS-CNRS (France)
+ Paul Patras, University of Edinburgh (UK)
+ Antonio Pescape, University of Napoli (Italy)
+ Georgios Smaragdakis, TU Berlin/MIT (Germany)
+ Zubair Shafiq, University of Iowa (USA)
+ Daphné Tuncer, Imperial College London (UK)
+ Gareth Tyson, Queen Mary University of London (UK)
+ Narseo Vallina-Rodriguez, IMDEA Networks (Spain)
+ Shobha Venkataraman, AT&T Labs (USA)
+ Christina Vlachou, HP Labs (USA)