A Stream Data Platform For Video Delivery Telemetry (2016)

By Michael Bevilacqua-Linn, Comcast

In this paper, we present an architecture for a stream data platform which allows us to comprehensively collect high value data, for both operational and other business purposes, at large scale. In addition, we present a method of defining and evolving schemas for this data.

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

Similar Papers

Distributed Trace For Video Systems
By Michael Bevilacqua-Linn, Comcast
2015
A Converged Content Delivery Platform for IP and QAM Video
By James Barkley, Weidong Mao, Comcast Cable
2016
Helm: Self-Service Customer Data Platform
By Sriharsha Gangam, Comcast Cable
2021
Self-Service Dimensional Data Analytics: Scalable Patterns for Data-Driven Enterprises
By Francesco Dorigo, Bao Nguyen & Daniel Howell, Comcast
2018
Two Years Of Deploying ITV/EBIF Applications – Comcast’s Lessons Learned
By Robert Dandrea, Ph.D., Comcast Cable
2010
Leveraging IP ABR Video Delivery for Linear QAM TV
By Weidong Mao, Comcast Cable and David Brouda, Imagine Communications
2015
Operationalizing Streaming Telemetry and Machine Learning Model Serving: Customer Experience Automation
By Nick Pinckernell & Scott Rome, Comcast
2020
Key Learnings from Comcast’s Use of Open Source Software in the Access Network
By Louis Donofrio & Qin Zang, Comcast Cable; Vignesh Ramamurthy, Infosys Consulting
2020
Addressing IP Video Adaptive Stream Latency and Video Player Synchronization
By Jeffrey Tyre, ARRIS; Wendell Sun, Viasat
2017
Will Http Adaptive Streaming Become The Dominant Mode Of Video Delivery In Cable Networks?
By Michael Adams, Ericsson Solution Area TV
2011
More Results >>