Real-Time Analytics for IP Video Multicast (2018)

By Dr. Claudio Righetti, Emilia Gibellini, Florencia De Arca, Mariela Fiorenzo & Gabriel Carro, Telecom Argentina

In order to understand the impact of multicast implementation, it is necessary to collect data on key indicators such as the number of concurrent streams, the average bitrate, and the average bandwidth, among others. We use these indicators to estimate the gain, in terms of bandwidth, at a service group level. The aim of this paper is to analyze the way in which the gain varies according to the service group size and its location, and to obtain –through the usage of statistical modeling–a model that describes and quantifies this relationship. In addition, the gain is estimated under a wide variety of scenarios, to know how many channels should be set to multicast, and if there is any gain in having a real-time analytics system that updates what channels should be delivered using Multicast.

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

Similar Papers

Network Capacity and Machine Learning
By Dr. Claudio Righetti, Emilia Gibellini, Florencia De Arca, Carlos Germán Carreño Romano, Mariela Fiorenzo, Gabriel Carro & Fernando Rodrigo Ochoa, Cablevisión S.A.
2017
Deploying IP Video Services, Architectures and Technologies
By Eduardo M. Panciera Molanes, Adrian Grimaldi, Norberto Harmath, Gaston Diaz & Marcos Aberastury, Telecom S.A.
2018
Unicast or Multicast for IP Video? Yes!
By John Horrobin, Yoav Schreiber, Cisco Systems
2014
IP Multicast In Cable Networks
By Joe Godas, Brian Field, Alon Bernstein, Sanjeev Desai, Toerless Eckert, and Harsh Parandekar
2005
Multicast As A Mandatory Stepping Stone For An IP Video Service To The Big Screen
By Amit Eshet, John Ulm, Uzi Cohen, Carol Ansley, ARRIS
2014
A Comparison of Economic and Operational Tradeoffs for the Deployment of Broadcast, Multicast, and Unicast Infrastructures within an IP Video Environment
By Carol Ansley, Jim Allen, Tom Cloonan, ARRIS
2012
Low Complexity Real-time Video Encoding for Soft Set-Top Box Platforms
By Krasimir Kolarov, Feei Chung, William Lynch, Interval Research Corporation
2000
An Improvement Proposal For The Timing And Scaling Of DOCSIS IP Multicast Services
By William T. Hanks, Tom Cloonan, Amit Eshet, Jeff Howe, John Ulm, Ian Wheelock, ARRIS
2014
Effective Utilization Of M-ABR (Multicast Assisted ABR) Using Big
By Sridhar Kunisetty, Jeffrey Tyre, and Robert Myers, ARRIS
2016
Cloud-DVR Real-Time Splunk-Based Monitoring and Alerting System
By Shlomo Ovadia, Ph.D. & Jenson Thottian, Charter Communications
2017
More Results >>