Systems Seminar

Multi-Scale Network Monitoring and Anomaly Detection

Prof. Mark Coates
ECE Department
McGill University


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 ***


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