Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 30,
  • Issue 1,
  • pp. 130-139
  • (2012)

On the Design of Energy-Efficient Mixed-Line-Rate (MLR) Optical Networks

Not Accessible

Your library or personal account may give you access

Abstract

With increasing energy consumption of the Internet, it is now imperative to design energy-efficient network architectures and protocols. Optical technologies have significant promise in improving the energy efficiency of network infrastructures. Future optical backbone networks will be heterogeneous in nature where a single link may carry various line-rate signals. This mixed-line-rate (MLR) network architecture is shown to be cost effective in satisfying heterogeneous traffic demands. In this study, we present mathematical models that can act as references for designing energy- and cost-efficient MLR optical networks. We also perform a comparative study of the energy efficiency of MLR and special cases of MLR design, named as single-line-rate networks (where all the links have same line rates). We explore the scenarios where the MLR networks minimize energy consumption. Finally, we investigate the relationship between energy-minimized and cost-minimized MLR network design.

© 2011 IEEE

PDF Article
More Like This
Energy-Efficient and Cost-Efficient Capacity Upgrade in Mixed-Line-Rate Optical Networks

Avishek Nag, Massimo Tornatore, and Biswanath Mukherjee
J. Opt. Commun. Netw. 4(12) 1018-1025 (2012)

New Strategies for Connection Protection in Mixed-Line-Rate Optical WDM Networks

Menglin Liu, Massimo Tornatore, and Biswanath Mukherjee
J. Opt. Commun. Netw. 3(9) 641-650 (2011)

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.