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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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|
|Deposited By:||Per Kreuger|
|Deposited On:||22 Sep 2015 13:42|
|Last Modified:||22 Sep 2015 13:42|
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