Impact of self-similarity on performance evaluation in differential service networks

Zhi Quan, Jong Moon Chung

Research output: Contribution to conferencePaper

13 Citations (Scopus)

Abstract

Priority queueing has currently become a popular research topic as a low-cost effective method to enable both quality of service (QoS) and differential services (DS) over large-scale high-speed networks. However, there are so many uncertain issues that require further investigation before its deployment into real wide area networks (WAN). The impacts of self-similar traffic on network performance has received much attention recently, however the effects of DS deployment on self-similar traffic networks has not been fully investigated yet. Therefore, the objective of this paper is to study QoS measures in priority queues under self-similar traffic. We first introduce the techniques that we use to generate self-similar network traffic, as well as the methods of how to design and implement priority queues through OPNET. Then we present our statistical results from a simulation study with synthesized self-similar traffic. Our study results show that self-similar traffic, compared with traditional short-range dependent (SRD) models, requires longer queues and thus larger buffers in the DS network design.

Original languageEnglish
PagesII326-II329
Publication statusPublished - 2002 Dec 1
Event2002 45th Midwest Symposium on Circuits and Systems - Tulsa, OK, United States
Duration: 2002 Aug 42002 Aug 7

Other

Other2002 45th Midwest Symposium on Circuits and Systems
CountryUnited States
CityTulsa, OK
Period02/8/402/8/7

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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  • Cite this

    Quan, Z., & Chung, J. M. (2002). Impact of self-similarity on performance evaluation in differential service networks. II326-II329. Paper presented at 2002 45th Midwest Symposium on Circuits and Systems, Tulsa, OK, United States.