JSM 2004 - Toronto

Abstract #301961

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Activity Number: 115
Type: Contributed
Date/Time: Monday, August 9, 2004 : 10:30 AM to 12:20 PM
Sponsor: Section on Physical and Engineering Sciences
Abstract - #301961
Title: Active Network Monitoring through Tomography Techniques
Author(s): Bowei Xi*+ and George Michailidis and Vijayan N. Nair
Companies: University of Michigan and University of Michigan and University of Michigan
Address: 439 West Hall, 550 East University, Ann Arbor, MI, 48109,
Keywords: network tomography ; Exponentially Weighted Moving Average control chart ; large scale monitoring
Abstract:

Estimation of quality of service parameters, such as packet loss rates and delay distributions, is of considerable importance to network administrators and service providers for monitoring purposes. Active network tomography techniques enable the estimation of packet loss rates and delay distributions of all internal links in a network from measurements obtained from nodes located on its periphery. This is an example of a large-scale statistical inverse problem. Least squares algorithms are introduced for the fast estimation of the link loss rates. The link monitoring problem is then formulated as a change detection problem and the Exponentially Weighted Moving Average (EWMA) control chart is adapted to the problem. The properties of these charts are discussed and the results illustrated both with synthetic and real network traces.

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