Data-Driven Networking

May 13, 2016 - Arizona State University, Tempe, Arizona, USA

The aim of this workshop is to bring together researchers in the emerging topics related to data driven concepts in networking. Data-driven networking is recently attracting increasing attention from both industry and academia. Data-driven networking seeks to improve network performance and user experience by leveraging fast-growing storage capabilities and availability of network data. It is increasingly becoming clear that network control and management challenges can benefit from using network measurement and user behavior data in conjunction with machine learning techniques and other decision making mechanisms. This workshop is motivated by big data resulting from the explosive growth of Internet data traffic and availability of network performance data.

This 1st data-driven networking workshop consists of a keynote speech and invited presentations by researchers and practitioners from both the industry and academia. We intend for this workshop to serve as a forum for exchanging cutting-edge research outcomes, for facilitating collaboration, and for fostering new ideas. The topics of interest include but are not limited to:

  • Network measurements and inference
  • Networks models & learning
  • Feedback graphs and bandits
  • Joint learning and decision making

Important Dates

Paper submission: February 2, 2016, 23:59 PST (extended and firm)
Notification of acceptance: March 1, 2016
Camera-ready/registration due: March 15, 2016, 23:59 PST

Download Call for Papers (pdf)

The submission is handled via the EDAS system.


To register, please go to A "Workshop Only" registration is sufficient. After you pay for the registration, record the registration code. Enter the registration code at the EDAS paper information page.

Keynote Speakers

Mark Crovella
Boston University
Zhi-Li Zhang
University of Minnesota

Workshop Schedule

Room: MU241B Ventana B

Note: Each keynote is one hour; each talk is 30 minutes.

08:30 - 10:30 Session 1: Network Measurement​ and Automation
Chair: Venkatesh Saligrama (Boston University, USA)
Keynote: Challenges and Opportunities in Internet Measurement
Mark Crovella (Boston University, USA)
Data-driven Network Automation​
Sujata Banerjee (Hewlett-Packard Laboratories, USA)
Building BRAINS: Brand and Reputation Analysis using In-Network Semantics
Gyan Ranjan (Symantec Corporation, USA)
11:00 - 12:00 Session 2: Network Optimization and Control
Chair: Xin Liu (UC Davis, USA)
From models to reality: closing the gap in wireless network optimization
Bhaskar Krishnamachari (University of Southern California, USA)
Towards Intelligent System Control​
Longbo Huang (Tsinghua University, P.R. China)
13:30 - 15:30 Session 3: Network Monitoring and Analysis​
Chair: Venkatesh Saligrama (Boston University, USA)
Keynote: Leveraging Big Data Analytics for Network Performance Monitoring & Trouble-Shooting
Zhi-Li Zhang (University of Minnesota, USA)
Searching for the rare in massive data streams
Qing Zhao (Cornell University, USA)
From Prediction to Action: Data-driven QoE Provisioning
Xin Liu (UC Davis, USA)

Workshop Chairs

Xin Liu
UC Davis, USA
Venkatesh Saligrama
Boston University, USA