Research Article
Analysis of traffic flow measurements by rate-interval curves
@INPROCEEDINGS{10.1145/1190095.1190162, author={Giada Giorgi and Claudio Narduzzi}, title={Analysis of traffic flow measurements by rate-interval curves}, proceedings={1st International ICST Conference on Performance Evaluation Methodologies and Tools}, publisher={ACM}, proceedings_a={VALUETOOLS}, year={2012}, month={4}, keywords={Traffic measurement Self-Similarity Network Calculus}, doi={10.1145/1190095.1190162} }- Giada Giorgi
Claudio Narduzzi
Year: 2012
Analysis of traffic flow measurements by rate-interval curves
VALUETOOLS
ACM
DOI: 10.1145/1190095.1190162
Abstract
In this paper we propose a method for the analysis of aggregate traffic by means of empirical rate-interval curves obtained from experimental data. The approach is related to the theory of Network Calculus, and is based on an algorithm which is different from the commonly employed approach based on wavelets, although it retains some of its multiresolution features. We present results, obtained both by simulation and in the analysis of real traffic traces, which provide an assessment of the strengths and weaknesses of the proposed method. Rate-interval curve analysis provides very robust and acceptably accurate estimates of the Hurst parameter value and, even in the presence of flow irregularities, results can be proved to be correct as far as scaling properties are concerned. Further analyses concerning peaks, bursts and similar localized phenomena that may have a significant impact on the performances of a network are allowed by considering maximal rate envelopes.
