Analysis And Prediction Of Peak Data Rates Through DOCSIS Cores (2018)

By John Holobinko, Glenn McGilvray & John Ritchie, Cisco Systems, Inc.

For nearly as long as DOCSIS has been deployed in cable networks, capacity planning has been a challenge for operators. As the nature of traffic has evolved across the IP network, the accuracy and usefulness of traditional DOCSIS capacity modelling techniques has diminished.

This paper describes an alternative, simpler model for predicting the peak capacity of a DOCSIS network, as measured bidirectionally through the CCAP (converged cable access platform) core, solely based on the number of subscribers attached to the DOCSIS platform and the demographics of the customers. This model is based on analysis of current traffic patterns and traffic types and subscriber behaviors within DOCSIS networks, which is presented herein. Core peak data was sampled over multiple months and across dozens of systems, and is used to show that the accuracy of the technique is superior to other modelling methods.

By clicking the "Download Paper" button, you are agreeing to our terms and conditions.

Similar Papers

Impact of CCAP to CM Distance in a Remote PHY Architecture
By John T. Chapman, Gerry White, and Hang Jin, Cisco
2015
The Path to 100 Gbps DAA Nodes: Analyzing DOCSIS Bandwidth and its Impact on the CIN
By John T Chapman, Cisco Systems
2021
Transitioning To M-CMTS
By Andrew Page, John T. Chapman, Carmelo Iaria, Glenn McGilvray
2006
An Analysis of lnteroperability and Cost Factors for Regional Digital Backbone Networks
By John Holobinko, American Lightwave Systems, Inc.
1994
Mobile Backhaul over DOCSIS
By John T. Chapman, Cisco; Jennifer Andreoli-Fang, CableLabs
2017
Remote PHY for Converged DOCSIS, Video and OOB
By John T. Chapman, CTO Cable Access BU & Cisco Fellow, Cisco
2014
DOCSIS 3.1 Downstream Early Lessons Learned
By John J. Downey, Cisco Systems Inc.
2017
Cable and Mobile Convergence: A Vision from the Cable Communities Around the World
By Jennifer Andréoli-Fang, PhD, CableLabs; John T. Chapman, Ian Campbell, & Mark Grayson, Cisco; Ahmed Bencheikh, Praveen Srivastava & Vikas Sarawat, Charter Communications; Drew Davis & Paul Blaser, Cox Communications; Damian Poltz & Dave Morley, Shaw Communications; Eduardo Panciera, Telecom Argentina; Philippe Perron, Sylvain Archambault, Eric Menu, Géraldine Trouillard & David Lagacé, Videotron; Gavin Young & Bruno Cornaglia, Vodafone
2020
Access Network Operations Savings Through Extending Automation
By John Holobinko & Todd Greene, Cisco Systems, Inc.; Ron Zimmerman, Cox Communications, Inc.
2017
Blueprint for Mobile Xhaul over DOCSIS
By Jennifer Andreoli-Fang, PhD, CableLabs; John T. Chapman & Tong Liu, PhD, Cisco; Damian Poltz, Shaw Communications
2019
More Results >>