The Network Traffic Measurement and Analysis Conference (TMA) is a highly selective venue for the presentation of both early-stage and mature research as well as controversial works 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 will maintain the tradition of open and lively interaction between scientists and engineers in academia or industry and serve as a premier forum to exchange ideas, present new results and advance the state-of-the-art.
The conference will be co-located with the traditional TMA PhD school, started back in 2010 and recognized as the most important PhD school in network measurement and analysis topics. The TMA PhD school usually brings more than 30 PhD students who are interested in TMA topics, and will bring a vivid contribution to the audience and present their research work in a poster session.
Topics of interest include, but are not limited to:
Traffic measurement, analysis, characterization, visualization and classification
The use of Big Data, Data Analytics, Data Mining, 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
Applications of traffic analysis for security, anomaly/vulnerability/attack detection and user profiling/privacy
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
Platforms for network performance and topology measurement and troubleshooting, particularly for service quality management and control in operational networks
Current and emerging regulatory frameworks for measurement, analysis and privacy
Measurement of traditional and new protocols (e.g. TCP, MPTCP, HTTP/2, QUIC) and modes of communication (e.g. NFC and IoT)
Validation and repeatability of measurements, shared datasets, collaborative platforms
06月21日
2017
06月23日
2017
初稿截稿日期
注册截止日期
留言