Traffic Characterization Using Wavelet-Based Techniques
Blekinge Institute of Technology, Department of Telecommunications and Mathematics1998 (English)Conference paper (Refereed) Published
Study of long-range dependence (LRD) properties in real traffic has received an increasing attention in traffic analysis. A wavelet-based tool for the analysis of LRD is presented in this paper together with a semi-parametric estimator of the Hurst parameter. The estimator has been proved to be unbiased under very general conditions and efficient under Gaussian assumptions. Analysis of the Bellcore Ethernet traces as well as of some VBR video traces using the wavelet-based estimator is reported.
Place, publisher, year, edition, pages
Boston, USA: The International Society for Optical Engineering , 1998.
Long-Range Dependence, Hurst estimation, Wavelets, Stationarity
Computer Science Telecommunications
IdentifiersURN: urn:nbn:se:bth-10104ISI: 000077159300032Local ID: oai:bth.se:forskinfo41DFDFA51654053BC1256C7600444166OAI: oai:DiVA.org:bth-10104DiVA: diva2:838137
The SPIE International Conference on Performance and Control of Network Systems