1 / 9

Self-Similar Ethernet LAN Traffic

Self-Similar Ethernet LAN Traffic. Carey Williamson. University of Calgary. Introduction. The original paper on network traffic self-similarity appeared at the 1993 ACM SIGCOMM Conference on Communications Architectures and Protocols

ndwight
Télécharger la présentation

Self-Similar Ethernet LAN Traffic

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Self-Similar Ethernet LAN Traffic Carey Williamson University of Calgary

  2. Introduction • The original paper on network traffic self-similarity appeared at the 1993 ACM SIGCOMM Conference on Communications Architectures and Protocols • Authors: Will Leland, Murad Taqqu, Walter Willinger, and Daniel Wilson (Leland et al. 1993)

  3. Introduction (Cont’d) • Extended version of the paper appeared in the IEEE/ACM Transactions on Networking, Vol. 2, No. 1, February 1994 • One of the landmark papers of the ‘90’s • Highly regarded, influential, one of the most cited papers in the last 3 years

  4. Main Contributions • Identified presence of self-similarity property in aggregate Ethernet traffic • Defined methodology for testing for the presence of self-similarity • variance-time plot • R/S statistic • periodogram (power spectrum) • Proposed explanations/models for SS

  5. Self-Similarity: A Hot Topic • Several papers since then have identified network traffic self-similarity in OTHER types of traffic (video, Internet, Web) • Several models for self-similar traffic have been proposed in the literature • Several studies of the performance implications of self-similar traffic and long-range dependence

  6. Measurement Study • Detailed measurement study of very lengthy Ethernet packet traces, with high resolution timer, and lots of storage space • One of the traces presented in their paper is a 27.5 hour trace • Over 20 million packets

  7. Data Analysis • Detailed statistical analysis: • aggregation, autocorrelation, R/S analysis, variance-time plot, periodograms, Whittle’s estimator, maximum likelihood ... • Very rigourous: confidence intervals, sophisticated statistical tests, sound methodology, ... • A wonderful paper to read (over and over)

  8. Main Results • Aggregate Ethernet LAN traffic is self-similar • Burstiness across many time scales • Hurst parameter 0.7 < H < 0.9 • H is larger when network utilization is higher (e.g., 0.9 when U = 15%) • Self-similarity present on all LAN’s tested

  9. Conclusions • Self-similarity is present in aggregate Ethernet LAN traffic • Traffic does not aggregate well at all • Law of large numbers may not hold! • Poisson models (or Markovian models of any sort) do not capture reality at all • Important to consider self-similar traffic

More Related