Proc. European Signal
Processing Conference, Sep. 4-8, 2005, Antalya, Turkey,
accepted for publication.
Factor Analysis of Network Flow Throughput Measurements for
Inferring Congestion Sharing
Dogu Arifler and
Brian L. Evans
Wireless Networking and Communications
Department of Electrical and
The University of Texas at Austin,
Austin, TX 78712-1084 USA
Internet traffic primarily consists of packets from Transmission
Control Protocol (TCP) flows. Based on passive, flow level TCP
network measurements, our previous work has focused on using the
principal component method to perform factor analysis on flow
class throughput correlation matrices in order to infer which
classes of TCP flows are sharing bottlenecks in the network. In
this paper, we present a first-order autoregressive model for
congestion at a bottleneck to analyze the need for filtering out a
subset of the collected flow measurements before analysis. We
demonstrate the successful application of our statistical methods
in inferring congestion sharing after filtering out small- and
large-sized flow samples.
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Last Updated 09/16/05.