SNTA'18: Scalable Network Traffic Analytics

TU Wien, Campus Gußhaus

Vienna, Austria, July 2-5, 2018

 

Program link

2018 Program

Submission link

Closed

Submission deadline

April 4, 2018

Author notification

April 18, 2018

Now the workshop program is available! https://sdm.lbl.gov/snta/2018/

 

Network traffic processing and analysis tasks are a key element for operations and management in distributed systems, which have become more challenging due to increasing traffic volumes and dynamic traffic data characteristics.  The tasks will be significantly complicated with the greater network speed and the newly introduced mobile and IoT devices within the next few years. Such changes will render the existing traffic analysis techniques to be outdated, and scalable big data analytics may be in place for data-driven and deeper data analysis. In addition to the quantitative and qualitative challenges, big data in network traffic analysis also comes from various sources such as routers, firewalls, intrusion sensors, and the newly emerging network elements speaking with different syntax and semantics, which makes organizing and incorporating the generated data difficult for comprehensive analysis.

This workshop aims at bridging the network traffic processing and the latest advances in machine learning and data science technologies. New analysis techniques for network traffic data are needed in the big data era, from the diverse angles of network performance, availability, and security. For example, real-time streaming analytics algorithms and methods need to be explored for estimating network performance and summarizing the traffic variables to capture the network activities due to the network bandwidth increase. Multivariate analysis of traffic variables may be able to provide the intuitive, comprehensive view of the traffic dynamics. New network activities logging techniques are also needed in the future with the latest development in the storage and archival technologies. Many applications in network traffic analysis may need to address the application-specific requirements and challenges. In this workshop, we intend to share visions of investigating new approaches and methods at the intersection of networking and data sciences.  

Topics of interest include in the workshop, but are not limited to:

  • Network traffic summarization
  • Data-driven, multivariate traffic analysis 
  • Streaming-based data processing and analysis 
  • Big data analytics for traffic analysis
  • Network forensic technologies
  • Capturing, filtering, representing traffic data
  • Storage and archival technologies for traffic data management
  • Traffic analysis applications including change detection and anomaly detection
  • Algorithms, frameworks, tools, and services for traffic analytics
  • Experiences, practices, and measurement studies on network traffic analysis
  • Network traffic characteristics and measurement
  • Visualization of network traffic and attack information
  • IoT and wireless network traffic analysis  

Important Dates

  • March 28, 2018 April 4, 2018: (Extended)
  • April 11, 2018 April 18, 2018: Notification of paper acceptance to authors
  • May 3, 2018: Camera-ready of accepted papers
  • July 2-6, 2018: Conference and workshops

Submission Guidelines

All submissions should follow the IEEE 8.5” x 11” Two-Column Format. Each submission can have up to 6 pages (full paper) or 4 pages (short/work-in-progress paper) without references. Papers exceeding this length limit or with smaller fonts will be rejected without review. If the submission is accepted for publication, up to 2 over-length pages may be purchased for the final camera-ready version. Submissions should NOT be blinded for review.

Submission link: Closed

Committees

Organizing committee

  • Jinoh Kim, Texas A&M University-Commerce, USA 
  • Alex Sim, Lawrence Berkeley National Laboratory, USA

Program Committee

  • Eric Chan-Tin, Oklahoma State University, USA
  • Junkyun Choi, KAIST, Korea
  • Jerry Chou, National Tsing Hua University, Taiwan
  • Antonio Cianfrani, University degli Studi di Roma La Sapienza, Italy
  • Constantine Dovrolis, Georgia Institute of Technology, USA
  • Liang He, University of Colorado Denver, USA
  • Dimitrios Katramatos, Brookhaven National Laboratory, USA
  • Rajkumar Kettimuthu, Argonne National Laboratory, USA
  • Ikkyun Kim, ETRI, Korea
  • Yoohwan Kim, University of Nevada, Las Vegas, USA
  • Youngjae Kim, Sogang Universkty, Korea
  • Mariam Kiran, ESnet, USA
  • Dong Li, University of California, Merced, USA
  • Qing Liu, New Jersey Institute of Technology, USA
  • Kohei Shiomoto, Tokyo City University, Japan
  • John Wu, Lawrence Berkeley National Laboratory, USA
  • Lingfei Wu, IBM, USA

Venue

SNTA2018 will be held in conjunction with ICDCS 2018 (July 2-5) in Vienna, Austria.

Contact

All questions about submissions should be emailed to SNTA.help at gmail.com.