On the self-similarity property of the output process from a network server with self-similar input traffic

S. Song, J. K.Y. Ng, Bihai Tang

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

3 Citations (Scopus)

Abstract

Real-Time communication requires a performance guarantee from the underlying network. In order to analyse the network performance, we must find the traffic characterization in every server of the network. Due to the strong experimental evidence that network traffic is self-similar in nature, it is important to study the problem to see whether the service of a server changes the self-similarity property of the input traffic. We establish a model of a single server with an infinite buffer and prove that if the queue length has finite second-order moment then the input process being strong asymptotically second-order self-similar (sas-s) is equivalent to the output process also bearing the sas-s property. Given the method for determinating the worst case cell delay for an ATM switch with self-similar input traffic, with this proof we can determine the end-To-end delay for much real-Time communications in an ATM network by summing the cell delay experienced by each of the ATM switches in the connection.

Original languageEnglish
Title of host publicationProceedings - 6th International Conference on Real-Time Computing Systems and Applications, RTCSA 1999
PublisherIEEE
Pages128-132
Number of pages5
ISBN (Electronic)0769503063, 9780769503066
DOIs
Publication statusPublished - 1999
Event6th International Conference on Real-Time Computing Systems and Applications, RTCSA 1999 - Hong Kong, China
Duration: 13 Dec 199915 Dec 1999

Publication series

NameProceedings - 6th International Conference on Real-Time Computing Systems and Applications, RTCSA 1999

Conference

Conference6th International Conference on Real-Time Computing Systems and Applications, RTCSA 1999
Country/TerritoryChina
CityHong Kong
Period13/12/9915/12/99

Scopus Subject Areas

  • Control and Optimization
  • Computer Science Applications
  • Hardware and Architecture
  • Information Systems and Management
  • Computer Networks and Communications

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