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Multi-scale "spatial" analysis of computer network traffic data

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2 Author(s)
Kolaczyk, E. ; Boston Univ., MA, USA ; Crovella, M.

Summary form only given. 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 - that is, methods of 'spatial' traffic analysis. A key challenge to advances in this area is posed by the fact that the 'space' in question, deriving from a network, is not some Euclidean sub-space but rather a graph. We focus on the problem of developing analyses sensitive to 'spatial' scale and introduce a framework for graph-based wavelets. In conjunction, we also consider the important issue of characterizing the underlying 'spatial' auto-correlation structure.

Published in:

Statistical Signal Processing, 2003 IEEE Workshop on

Date of Conference:

28 Sept.-1 Oct. 2003