Hands on Big Data for Traffic Monitoring and Analysis — 8th TMA PhD School

8th TMA PhD School – Hands on Big Data for TMA

The NewNet@Paris team is happy to co-organize and participate with cool content to the  8th TMA PhD School on Big data for Traffic Monitoring and Analysis!  The official website is http://tma.ifip.org/2018/phd-school/ however you can get a basic idea of the school content in this short post.

 

Following the success of the previous editions, the 8th TMA PhD School will take place on June 25th and 26th 2018 in Vienna, Austria, at the Tech Gate tower premises, hosted by the AIT Austrian Institute of Technology.

Under the theme Hands on Big-Data for TMA, the 8th TMA PhD School will include 3 tutorials, by 3 distinct lecturers, over a 2 days program. Lectures will focus on the fundamental aspects of big-data analytics and frameworks for the analysis of Internet measurements. Each lecture is accompanied by a related practical lab session, where students have the opportunity to put in practice learned notions.

On the second day of the PhD school, students will join the TMA Experts Summit, which will consist of talks from renown researchers worldwide on different aspects of network measurement and analysis (e.g., SDN/NFV, IoT, Artificial Intelligence and Machine Learning, etc.).

 

PhD School Speakers

The list of speakers for the 8th TMA PhD school includes:

  • Frank Brockners, distinguished engineer at Cisco. He will discuss fundamental aspects of high speed telemetry and network traffic capturing. His talk and lab session are co-organized by Shwetha Bhandari, software engineer at Cisco and by Leonardo Linguaglossa, postdoctoral fellow at Telecom ParisTech
  • Joseph Allemandou, data engineer at Wikimedia Foundation. He will present an overview on the various open big-data platforms allowing to work with massive data volumes, and focus on the application of Apache Spark to analyze network security data through machine learning techniques.
  • Idilio Drago, assistant professor at Politecnico di Torino. Focusing on massive passive network measurements and state-of-the-art big-data processing tools, he will engage students on a mini-hackathon challenge, where participants would compete for the best performing solution to analyze the usage of networked services and their implications for end-users’ privacy. His talk and lab session are co-organized by Martino Trevisan, PhD student at Politecnico di Torino.

The PhD School program will include 5 poster sessions where students can present their own (ongoing) PhD work to other students and to the lecturers, and receive individual feedback from them. Panel sessions will take place during breaks.

The program will also include an informal interactive session between students and the speakers, with the explicit goal of fostering “vertical” interaction between students and the speakers, and “horizontal” interaction between the students themselves. Students will have the opportunity to interview the speakers, asking for their expert opinion on general aspects (non-technical) of the current research dynamics in the field of traffic monitoring and analysis (e.g., how they see the prospective development of a particular research topic in the near future, or what are the key ingredients that drive the success of an experimental measurement platform, etc).

The PhD school program will include social activities on both days, where students, lecturers and attendees of the main TMA conference will have the opportunity to interact informally: guided tour and social dinner on the first day, and TMA Conference welcome cocktail on the second day.

 

Participation to TMA Conference

To foster interaction with the TMA community, students are encouraged to join the TMA Conference in the three days following the PhD School, as well as to present their work at the main conference poster session(s).