Entropy of ATM traffic streams: a tool for estimating QoS parameters

For the purposes of estimating quality-of-service parameters, it is enough to know the large deviation rate-function of an ATM traffic stream; modeling procedures can be bypassed if we can estimate the rate-function directly, exploiting the analogy between the rate-function and thermodynamic entropy...

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Bibliographic Details
Published in:IEEE journal on selected areas in communications 1995-08, Vol.13 (6), p.981-990
Main Authors: Duffield, N.G., Lewis, J.T., O'Connell, N., Russell, R., Toomey, F.
Format: Article
Language:English
Subjects:
Asynchronous transfer mode
Entropy
Parameter estimation
Probability distribution
Proposals
Quality of service
Switches
Thermodynamics
Traffic control
Yield estimation
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Summary:For the purposes of estimating quality-of-service parameters, it is enough to know the large deviation rate-function of an ATM traffic stream; modeling procedures can be bypassed if we can estimate the rate-function directly, exploiting the analogy between the rate-function and thermodynamic entropy. We show that this proposal is soundly based on statistical sampling theory. Experiments on the Fairisle ATM network at the University of Cambridge have established that it is feasible to collect the required data in real time.< >
ISSN:0733-8716
1558-0008
DOI:10.1109/49.400654