Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Performance study of IP and SONET grooming in optical WDM mesh networks

Not Accessible

Your library or personal account may give you access

Abstract

We study the problem of IP traffic grooming in optical wavelength-division-multiplexed (WDM) mesh networks. Two different grooming architectures are considered: (i) IP/MPLS grooming, and (ii) SONET grooming. The IP/MPLS grooming approach provides a fine level of grooming granularity realized via software-based implementations but has router-processing-related bottlenecks. The SONET grooming approach is realized in dedicated hardware, but it is more expensive and typically offers limited grooming granularity choices. We also consider multipath routing as used in SONET virtual concatenation techniques, and we study the impact of the differential delay constraint. A detailed comparison of the different grooming options in terms of blocking probability, lightpath utilization, and survivability issues is presented. The simulation analysis helps quantify the improved performance of finer granularity grooming approaches over the coarser SONET-based approaches.

© 2007 Optical Society of America

PDF Article
More Like This
Survivable Multipath Traffic Grooming in Telecom Mesh Networks With Inverse Multiplexing

Sheng Huang, Ming Xia, Chip Martel, and Biswanath Mukherjee
J. Opt. Commun. Netw. 2(8) 545-557 (2010)

Traffic Grooming for IP-Over-WDM Networks: Energy and Delay Perspectives

Chankyun Lee and June-Koo Kevin Rhee
J. Opt. Commun. Netw. 6(2) 96-103 (2014)

Dynamic Multicast Traffic Grooming in Optical WDM Mesh Networks: Lightpath Versus Light-Tree

Xiaojun Yu, Gaoxi Xiao, and Tee-Hiang Cheng
J. Opt. Commun. Netw. 5(8) 870-880 (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.