Abstract #300776

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JSM 2003 Abstract #300776
Activity Number: 432
Type: Invited
Date/Time: Thursday, August 7, 2003 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistical Computing
Abstract - #300776
Title: Multiscale "Spatial'' Analysis of Computer Traffic Data on Network Graphs
Author(s): Eric Kolaczyk*+ and Mark Crovella
Companies: Boston University and Boston University
Address: Dept. of Math & Statistics, Boston, MA, 02215-2411,
Keywords:
Abstract:

Many key tasks in computer network monitoring, such as load balancing and the detection of anomalies (e.g., DoS attacks, link failures, and routing loops), fundamentally require a whole-network perspective. However, most existing methods of computer network traffic analysis are applied to measurements only on a link-by-link basis. Therefore, there is a clear need for methods allowing a simultaneous analysis of traffic across multiple network links, that is, for methods of "spatial" traffic analysis. We present ongoing work on this topic. A key challenge is posed by the fact that the "space" in question, deriving from a network, is not some Euclidean subspace but rather a graph. We focus on the problem of developing analyses sensitive to spatial scale and introduce a framework for graph-based wavelets that generalizes the traditional wavelet transform accordingly. In connection with this development, we also attempt to provide a framework for characterizing the underlying spatial autocorrelation structure. Illustrations are provided using data from the Abilene network operated by the Internet2 project.

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