Modeling VBR traffic with autoregressive Gaussian processes

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Recent studies about network traffic measurement show that today's network traffic exhibits long-range dependence (LRD). The computation effort of generating LRD traffic is directly proportional to the length of the traces. This paper presents a traces-generating framework based on TES (transform-expand-samples) and synthetic autoregressive Gaussian processes. The proposed scheme can fit both the probability density function and the autocorrelation of the empirical traces. Besides, the computation effort of this scheme is independent of the length of the LRD traces.

Original languageEnglish
Title of host publicationProceedings - IEEE International Conference on Networks 2000
Subtitle of host publicationNetworking Trends and Challenges in the New Millennium, ICON 2000
Number of pages1
DOIs
Publication statusPublished - 2000 Dec 1
Event2000 IEEE International Conference on Networks: Networking Trends and Challenges in the New Millennium, ICON 2000 - Singapore, Singapore
Duration: 2000 Sep 52000 Sep 8

Publication series

NameIEEE International Conference on Networks, ICON
ISSN (Print)1556-6463

Other

Other2000 IEEE International Conference on Networks: Networking Trends and Challenges in the New Millennium, ICON 2000
CountrySingapore
CitySingapore
Period00-09-0500-09-08

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Software
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality

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  • Cite this

    Li, J. S. (2000). Modeling VBR traffic with autoregressive Gaussian processes. In Proceedings - IEEE International Conference on Networks 2000: Networking Trends and Challenges in the New Millennium, ICON 2000 [875835] (IEEE International Conference on Networks, ICON). https://doi.org/10.1109/ICON.2000.875835