Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 24,
  • Issue 9,
  • pp. 3295-
  • (2006)

Cost Optimal Configuration of Optical Networks

Not Accessible

Your library or personal account may give you access

Abstract

In order to address the challenges of tackling the ever-increasing demand for data and voice services while facing diminishing financial returns from deployed networks, efficient utilization of available resources in optical networks is required. In this paper, an efficient set of algorithms is developed for selecting a cost-optimal subset of commercially available fixed or parameterized modules such as dispersion compensation modules and optical amplifiers subject to a wide range of engineering and financial constraints. A comprehensive analysis is performed on these algorithms, and their applicability is confirmed by carrying out simulation experiments to allocate resources for typical optical links.

© 2006 IEEE

PDF Article
More Like This
Cost optimization of optical in-building networks

A. M. J. Koonen, H. P. A. van den Boom, E. Ortego Martinez, A. Pizzinat, Ph. Guignard, B. Lannoo, C. M. Okonkwo, and E. Tangdiongga
Opt. Express 19(26) B399-B405 (2011)

Cost-Optimized Reservation and Routing for Scheduled Traffic in Optical Networks

Hui Ding, Pan Yi, and Byrav Ramamurthy
J. Opt. Commun. Netw. 5(11) 1215-1226 (2013)

Cost-Optimized Joint Resource Allocation in Grids/Clouds With Multilayer Optical Network Architecture

Pan Yi, Hui Ding, and Byrav Ramamurthy
J. Opt. Commun. Netw. 6(10) 911-924 (2014)

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.