SODA

Scalable in-network rate monitoring

Kreuger, Per and Steinert, Rebecca (2015) Scalable in-network rate monitoring. In: IFIP/IEEE Integrated Network Management --- IM'15, May 11-15, 2015, Ottawa, Canada.

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Abstract

We propose a highly scalable statistical method for modelling the monitored traffic rate in a network node and suggest a simple method for detecting increased risk of congestion at different monitoring time scales. The approach is based on parameter estimation of a lognormal distribution using the method of moments. The proposed method is computation- ally efficient and requires only two counters for updating the parameter estimates between consecutive inspections. Evaluation using a naive congestion detector with a success rate of over 98% indicates that our model can be used to detect episodes of high congestion risk at 0.3 s using estimates captured at 5 m intervals.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:probabilistic management; performance monitor- ing; statistical traffic analysis; link utilization modelling; congestion detection; in-network rate monitoring
ID Code:5892
Deposited By:Per Kreuger
Deposited On:22 Sep 2015 13:42
Last Modified:22 Sep 2015 13:42

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