POWer adaptive random early detection for diff-serv assured forwarding service classes

B. K. Ng, D. Chieng, A. Y. Malik

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

With diverse performance requirements and everchanging nature of Internet multimedia applications, differential treatment to these applications is inevitable. In this paper we evaluated the performances of popular Adaptive Random Early Detection (AKED) [7] algorithms against our POWer Adaptive Random Early Detection (POWARED) [8] algorithm in providing different throughput and delay assurances to various Differentiated Services (DiffServ) Assured Forwarding (AF) service classes. The results show that POWARED generally outperforms ARED in terms of loss rate and throughput with minimal trade-offs in delay. DiffServ model is specifically chosen due to its wide market acceptance by industrial players in providing Quality of Service (QoS) across the Internet.

Original languageEnglish
Title of host publication2006 Second IEEE and IFIP International Conference in Central Asia on Internet, ICI 2006
PublisherIEEE Computer Society
ISBN (Print)1424405432, 9781424405435
DOIs
Publication statusPublished - 2006
Externally publishedYes
Event2006 2nd IEEE/IFIP International Conference in Central Asia on Internet, ICI 2006 - Tashkent, Uzbekistan
Duration: 19 Sep 200621 Sep 2006

Publication series

Name2006 Second IEEE and IFIP International Conference in Central Asia on Internet, ICI 2006

Conference

Conference2006 2nd IEEE/IFIP International Conference in Central Asia on Internet, ICI 2006
Country/TerritoryUzbekistan
CityTashkent
Period19/09/0621/09/06

Keywords

  • Active queue management
  • Differentiated services
  • Internet
  • Quality of service
  • Random early detection

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software

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