TMA CONFERENCE 2021
Network Traffic Measurement and Analysis Conference
Technical Sponsors: To be announced
Conference Dates: September 13-15, 2021
Paper Registration (extended/hard deadline): April 01, 2021
Paper submission (extended/hard deadline): April 01, 2021
Registration for authors: To be announced
** TMA 2021 WILL BE HELD AS A VIRTUAL CONFERENCE **
Due to the COVID-19 pandemic, the TMA 2021 will be held as a virtual two-day conference. The entire main conference program will be online. PhD School and Experts Summit are cancelled. However, we will give the opportunity to PhD students and young researchers to present their work-in-progress as lightning talks. Details regarding program and participation will be available in the next weeks. Please stay tuned!
We are very excited to announce the 5th edition of the Network Traffic Measurement and Analysis Conference (TMA Conference 2021).
TMA Conference is a highly selective venue for the presentation of both early-stage and mature research as well as controversial work on all the aspects of network measurements. The focus is on improving the practice or application of measurements, across the entire network stack up to the application layer, with an emphasis on new areas of network communication such as Software-Defined Networks, Cloud services, Content Distribution Networks, Social Networks, mobile applications and data centers. We also welcome more traditional measurement topics, such as traffic classification, anomaly detection, network performance evaluation and traffic analysis.
The Conference maintains its tradition of open and lively interaction between scientists and engineers in academia and industry and serves as a premier forum to exchange ideas, present new results and advance the state-of-the-art.
TMA Conference 2021 will present three different awards to the best contributions, including a best paper award, a best open dataset award, and a best lightning talk award. Authors of selected top TMA 2021 papers will be invited to submit an extended version of their paper to IEEE Transactions on Network and Service Management (Impact Factor 4.682) for fast-track processing.