A dynamic load-aware congestion control scheme in optical burst switching networks

Laeyoung Kim, Sukyoung Lee, Jooseok Song

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

The most important design goal in Optical Burst Switching (OBS) networks is to reduce burst loss resulting from resource contention. Especially, the higher the congestion degree in the network is, the higher the burst loss rate becomes. The burst loss performance can be improved by employing an appropriate congestion control. In this paper, to actively avoid contentions, we propose a dynamic load-aware congestion control scheme that operates based on the highest (called 'peak load') of the loads of all links over the path between each pair of ingress and egress nodes in an OBS network. We also propose an algorithm that dynamically determines a load threshold for adjusting burst sending rate, according to the traffic load in a network. Further, a simple signalling method is developed for our proposed congestion control scheme. The proposed scheme aims to (1) reduce the burst loss rate in OBS networks and (2) maintain reasonable throughput and fairness. Simulation results show that the proposed scheme reduces the burst loss rate significantly, compared to existing OBS protocols (with and without congestion control), while maintaining reasonable throughput and fairness. Simulation results also show that our scheme keeps signalling overhead due to congestion control at a low level.

Original languageEnglish
Pages (from-to)277-287
Number of pages11
JournalPhotonic Network Communications
Volume13
Issue number3
DOIs
Publication statusPublished - 2007 Jun

Bibliographical note

Funding Information:
Acknowledgements This work was supported in part by Korea Science and Engineering Foundation (KOSEF) through OIRC project.

All Science Journal Classification (ASJC) codes

  • Software
  • Atomic and Molecular Physics, and Optics
  • Hardware and Architecture
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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