EL933: Network Measurement and Traffic Engineering
Instructor: Prof. Yong Liu
Tel: 718-260-3959
Room: LC252
E-mail:
Course Description:
Networks, and the Internet in particular, have experienced exponential growth, becoming one of
the largest engineering systems ever constructed. Management of this large system is of critical
importance, and challenging at the same time. Measurements and models based on these measurements
are integral components to understand network behavior and provide basis for better management.
This seminar covers topics both in measurement, ranging from traffic/protocol/application
characterization to anomaly detection, and in traffic engineering, including congestion control
and optimal routing. The following is a preliminary list of subjects to be covered:
- Internet Traffic Analysis: self-similarity and long-range dependency
- Packet Loss/Delay Characterization: statistical models
- Packet Pair Probing: available bandwidth estimation
- Network Tomography: inference from the edge
- Anomaly Detection: worm, DDoS attacks, link failures
- Traffic Matrix Estimation: existing and new approaches
- Distributed Measurement: network of network sensors
- Network Routing: optimal routing in a changing world
- Overlay Routing: application level routing adaptation
- Congestion Control: a closed-loop analysis
- - 14. Student Presentations: final project
Reference Books:
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"Data Networks (2nd Edition)"
D. Bertsekas and R. Gallager
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"Computer Networking, a top down approach featuring the Internet (3rd edition)"
James F. Kurose and Keith W. Ross
-
"Nonlinear Programming"
Dimitri P. Bertsekas
-
"The Mathematics of Internet Congestion Control"
R. Srikant
Grading:
Students will be evaluated by a written exam in midterm and a final project, 50 points each.
The final project can be either a study of papers from major networking conferences and journals
or student’s original work on network measurement and traffic engineering. For both cases, a
presentation and a term paper is required.
Class meet: Tuesday 3:35pm - 5:50pm