Proc. IEEE Int. Conf. on
Acoustics, Speech, and Signal Proc.,
vol. 2, pp. 437-440, May 17-21, 2004, Montreal, Canada.
Network Tomography 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
Draft of Paper -
Internet traffic primarily consists of packets from elastic flows,
i.e. Web transfers, file transfers (FTP), and e-mail, whose
transfers are mediated via the Transmission Control Protocol. We
develop a conditional sampling technique to analyze throughput
correlations among elastic flow classes based on flow level
measurements from current network traffic monitoring tools. 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 end-to-end packet level measurements
for making inferences.
- a demonstration of throughput correlation among temporally
overlapping flows on congested resources by using
analytical/simulation models, and
- application of a multivariate statistical method (principal
components) to infer network properties, such as the number of
shared resources by flows in the network from non-intrusive, flow
level measurements collected at a single site.
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