IEEE/ACM Transactions on Networking,
vol. 15, no. 1, Feb. 2007, pp. 67-79.
A Factor Analytic Approach to Inferring Congestion Sharing
Based on Flow Level Measurements
Gustavo de Veciana 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 elastic flows,
i.e. Web transfers, file transfers (FTP), and e-mail, whose
transmissions are mediated via the Transmission Control Protocol
(TCP). In this paper, we develop a methodology to process TCP flow
measurements in order to analyze throughput correlations among TCP
flow classes that can be used to infer resource sharing in the
Internet. The primary contributions of this paper are:
Our proposal for using flow level measurements to infer network
properties differs significantly from previous network tomography research
that has employed packet level measurements for making inferences.
Possible applications of our method include network monitoring and
root cause analysis of poor performance.
- development of a technique for processing flow records suitable
for inferring resource sharing,
- evaluation of the use of factor analysis on processed flow records
to explore which TCP flow classes might share congested resources, and
- validation of our inference methodology using bootstrap methods and
non-intrusive, flow level measurements collected at a single
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