Performance ealuation of QoS-aware routing in overlay network

Masato Uchida, Satoshi Kamei, Ryoichi Kawahara

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

Abstract

A recent trend in routing research is the use of overlay routing to improve end-to-end QoS without changing the network level architecture. The key of this technology is to find alternative routes, which can avoid congested routes, using an overlay network. Evaluating the calculation cost to find such an alternative route to develop the technology is important. Therefore, this paper evaluates how effective the technology can be when the number of alternative route candidates is limited. The evaluation results indicate that the technology is effective even if alternative route candidates are limited to one quarter of the number of routes.

Original languageEnglish
Title of host publicationInformation Networking
Subtitle of host publicationAdvances in Data Communications and Wireless Networks - International Conference, ICOIN 2006. Revised Selected Papers
PublisherSpringer Verlag
Pages925-934
Number of pages10
ISBN (Print)3540485635, 9783540485636
Publication statusPublished - 2006 Jan 1
EventInternational Conference on Information Networking, ICOIN 2006 - Sendai, Japan
Duration: 2006 Jan 162006 Jan 19

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3961 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherInternational Conference on Information Networking, ICOIN 2006
CountryJapan
CitySendai
Period06/1/1606/1/19

    Fingerprint

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Uchida, M., Kamei, S., & Kawahara, R. (2006). Performance ealuation of QoS-aware routing in overlay network. In Information Networking: Advances in Data Communications and Wireless Networks - International Conference, ICOIN 2006. Revised Selected Papers (pp. 925-934). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3961 LNCS). Springer Verlag.