Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Optical Fiber Communication Conference and Exposition and The National Fiber Optic Engineers Conference
  • Technical Digest (CD) (Optica Publishing Group, 2006),
  • paper NThA2

Benchmarking Performance Characteristics for Delivering Ethernet Private Line Service in a Multi-vendor SONET Environment

Not Accessible

Your library or personal account may give you access

Abstract

Ethernet-based services continue to grow in popularity as customers use the technology for wide area network connectivity. To meet customer demand for Ethernet private line (EPL) services, Verizon has developed a comprehensive approach that uses existing legacy SONET and NG-SONET equipment to deliver a less expensive and more efficient alternative to DS3 for WAN connections to customer sites. Verizon’s customers expect its EPL service to perform similar to existing TDM-based private line services, with all the transmission characteristics of a SONET network. However, Verizon’s NG-SONET vendors have different Ethernet over SONET (EoS) implementations, and these differences have made it difficult for Verizon to establish performance benchmarks and guarantee service levels. To address this challenge, Verizon is defining a set of standard EPL service attributes that will be used to benchmark Ethernet and NG-SONET performance in a multi-vendor EoS environment.

© 2006 Optical Society of America

PDF Article
More Like This
Exploiting Carrier Ethernet to Deliver Profitable New Services

Enrique Hernandez-Valencia and Hector Menendez
NTuD1 National Fiber Optic Engineers Conference (NFOEC) 2006

Carrier Class Ethernet Service Delivery: Migrating SONET to IP & Triple Play Offerings

Joe Mocerino
JThB97 National Fiber Optic Engineers Conference (NFOEC) 2006

Deployment of Carrier-Grade Bandwidth-on-Demand Services over Optical Transport Networks: A Verizon Experience

Stephen Liu and Lily Chen
NThC3 National Fiber Optic Engineers Conference (NFOEC) 2007

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.