Accession Number:

ADA439086

Title:

Structural Analysis of Network Traffic Flows

Descriptive Note:

Corporate Author:

BOSTON UNIV MA DEPT OF COMPUTER SCIENCE

Report Date:

2003-11-10

Pagination or Media Count:

27.0

Abstract:

Network traffic arises from the superposition of Origin-Destination OD flows. Hence, a thorough understanding of OD flows is essential for modeling network traffic, and for addressing a wide variety of problems including traffic engineering, traffic matrix estimation, capacity planning, forecasting and anomaly detection. However, to date, OD flows have not been closely studied, and there is very little known about their properties. We present the first analysis of complete sets of OD flow timeseries, taken from two different backbone networks Abilene and Sprint-Europe. using principal Component Analysis PCA, we find that the set of OD flows has small intrinsic dimension. In fact, even in a network with over a hundred OD flows, these flows can be accurately modeled in time using a small number 10 or less of independent components or dimensions. We also show how to use PCA to systematically decompose the structure of OD flow timeseries into three main constituents common periodic trends, short-lived bursts, and noise. We provide insight into how the various constituents contribute to the overall structure of OD flows and explore the extent to which this decomposition varies over time.

Subject Categories:

  • Operations Research
  • Computer Systems
  • Radio Communications

Distribution Statement:

APPROVED FOR PUBLIC RELEASE