IEEE Journal on Selected Areas in Communications · 1995 · 145 citations · 9 references
Internet Traffic AnalysisEngineeringQuality-of-serviceStochastic AnalysisLarge Deviation Rate-functionQueueing TheoryHardware SecurityStochastic SimulationQos ParametersStochastic ProcessesSystems EngineeringNetwork Traffic MeasurementStatisticsAtm Traffic StreamsNetwork FlowsSampling TheoryFairisle Atm NetworkProbability TheoryComputer ScienceQueueing SystemsStochastic ModelingAtm Traffic StreamEntropyNetwork Traffic ControlStatistical InferenceQueuing TheoryFluid Queue
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.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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