Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 35,
  • Issue 12,
  • pp. 2346-2357
  • (2017)

Optical Ethernet—Flexible Optical Metro Networks

Not Accessible

Your library or personal account may give you access

Abstract

Enhanced flexibility in optical transport networks is a key requirement to support dynamic traffic load in packet-based networks. Today, flexibility is achieved by packet switches linked by static point-to-point transport connections. Wide-stretched synchronization patterns, line coding schemes, and forward error correction (FEC) frames prohibit flexibility right at the transport layer. We introduce a new optical transport concept that combines packet aggregation with a multipoint-to-point line coding and FEC processing. This concept avoids the quadratic full mesh scalability problem of other aggregated switching technologies such as, e.g., wavelength switching. It combines the flexibility of a distributed Ethernet switch and the performance of a leading edge optical transport system.

© 2017 IEEE

PDF Article
More Like This
Prototyping Optical Ethernet—A Network for Distributed Data Centers in the Edge Cloud

Wolfram Lautenschlaeger, Lars Dembeck, and Ulrich Gebhard
J. Opt. Commun. Netw. 10(12) 1005-1014 (2018)

Flexible Node Architectures for Metro Networks [Invited]

Marco Schiano, Alessandro Percelsi, and Marco Quagliotti
J. Opt. Commun. Netw. 7(12) B131-B140 (2015)

On the Efficiency of Flexible Ethernet Client Architectures in Optical Transport Networks [Invited]

António Eira, André Pereira, João Pires, and João Pedro
J. Opt. Commun. Netw. 10(1) A133-A143 (2018)

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.