Systems Seminar
Multi-Scale Network Monitoring and Anomaly Detection
Prof. Mark Coates
ECE Department
McGill University
Abstract
Network operators need to monitor the end-to-end performance experienced
by all users in order to identify and correct for overloaded links and
to verify that quality of service agreements are being satisfied. The
key challenge is to obtain end-to-end performance levels without the
costly overhead involved in explicitly gathering data for the paths
connecting every source-destination pair. Recently we proposed a method
for characterizing end-to-end performance across a network given limited
measurements. Our method uses diffusion wavelets, a methodology for
defining multi-scale representations of functions defined on a graph, to
obtain an efficient representation for network performance parameters.
With this representation, we can employ nonlinear sparse estimation
techniques, yielding a state-of-the-art framework for network inference.
This talk will describe this monitoring framework, and discuss its
application to network anomaly detection and traffic matrix estimation.
Time and Place: Fri., Oct. 12, at 1 pm in 2534 EH.
*** NOTE SPECIAL DAY, TIME, & ROOM ***
SYSTEMS SEMINAR WEB PAGE:
http://homepages.cae.wisc.edu/~gubner/seminar/schedule.html