Towards a Measurement Based Networking approach for Internet QoS improvement

Larrieu, Nicolas; Owezarski, Philippe

doi:10.1016/j.comcom.2004.10.002

Cited by 1 publication

(1 citation statement)

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“…For example, in [13] the authors propose a congestion control mechanism called Measurement Based Congestion Control (MBCC) which monitors the traffic in real time and reacts to changes in its characteristics. In [18] a rate-based control algorithm is proposed that uses a real-time estimate of H. In [19] the authors propose using the Hurst parameter to compute the bandwidth requirements of the traffic flow by applying the Norros formula [17].…”

Section: Introductionmentioning

confidence: 99%

Detecting changes in the Hurst parameter

Chatterjee

MacGregor

Bates

2008

2008 33rd IEEE Conference on Local Computer Networks (LCN)

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The Hurst parameter characterizes the degree to which a time series is long range dependent (LRD). The value of this parameter can be used as an input to algorithms for bandwidth allocation, buffer sizing and congestion control. However, for these algorithms to be effective over the long run they must change their actions when the value of the Hurst parameter changes. We demonstrate a new technique which uses a wavelet decomposition to detect a change in the Hurst parameter. Our technique tests the variance structure of the wavelet coefficients at multiple scales and uses changes in variance to signal a change in the value of the Hurst parameter. The efficacy of the proposed technique is demonstrated by comparing its performance to that of another recently proposed method for change detection. The performance tests were conducted using artificially generated data sets which contain changes in the Hurst parameter of known position, magnitude and sign.

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Section: Introductionmentioning

confidence: 99%