Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 27,
  • Issue 13,
  • pp. 2544-2551
  • (2009)

Residual Admission Capacity in Optical Burst Switching Networks and Its Application in Configuration of Loss Guaranteed Tunnels

Not Accessible

Your library or personal account may give you access

Abstract

This paper studies how the capacity utilization can be improved by proper configuration of loss guaranteed tunnels in optical burst switching (OBS) networks. We show that the method of computing residual bandwidth in IP networks is not applicable to OBS networks due to the bufferless nature. We propose a more accurate metric, residual admission capacity (RAC), to measure the amount of link residual capacity. We apply the concept of RAC in loss budget partitioning and loss threshold selection. First, we develop an RAC based loss budget partitioning (RAC-LBP) algorithm. The RAC-LBP is efficient in capacity utilization and flexible with loss threshold settings. We then develop an RAC based loss threshold selection (RAC-LTS) algorithm. Using the loss thresholds determined by the RAC-LTS can improve the capacity utilization efficiency.

© 2009 IEEE

PDF Article
More Like This
Optimized Burst LSP Design for Absolute QoS Guarantees in GMPLS-Controlled OBS Networks

Pedro Pedroso, Jordi Perelló, Davide Careglio, Miroslaw Klinkowski, and Salvatore Spadaro
J. Opt. Commun. Netw. 4(2) 66-77 (2012)

Collision-Free Bandwidth-Variable Optical Burst Switching Ring Network

Ping Zhang, Bingli Guo, Juhao Li, Yongqi He, Zhangyuan Chen, and Hequan Wu
J. Opt. Commun. Netw. 5(9) 1043-1056 (2013)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.