Using Historical Traffic Data to Schedule Service Interruptions for Minimum Customer Impact (2018)

By Jason Rupe & Colin Justis, CableLabs

Maintenance is necessary, but service disruption isn’t. Some cable system repairs will impact service in ways that customers notice, but can be necessary and urgent. Fixing service while a customer is not using services is far better. But to do that without bothering the customer requires a usage forecast model.

With historical usage data of service classes, we created a simple model that predicts the amount of data being consumed by end devices in a cable plant. Using this model as an indicator of usage by customers, we can determine the best time for a repair interval of a defined duration, allowing a technician to time necessary but disruptive operations to minimize the disruption to customers. We analyzed the data, tested the model, then built a simple application based on the model which can specify the best time(s) to conduct a service disruptive repair for a defined duration, for a given set of end devices to be impacted.

The application is about to be tested in a trial. Customer call-in rate will be used to measure the effectiveness of the projected schedule, as compared to a baseline.

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

Similar Papers

A PNM System Using Artificial Intelligence, HFC Network Impairment, Atmospheric and Weather Data to Predict HFC Network Degradation and Avert Customer Impact
By Larry Wolcott, Michael O'Dell, Peter Kuykendall, Vishnu Gopal, Jason Woodrich & Nick Pinckernell, Comcast
A Roadmap for Cable Access Reliability
By Jason Rupe, CableLabs; Ron Hranac
The Impact of Customer Care and Billing on Broadband Data Services
By Craig Hanson, Director, Advanced Technologies Ragan Wilkinson, Champion of Customer Care, Advanced Technologies, Lanse M. Leach, Ph.D., Senior Vice President, Chief Technology Officer, CableData, Inc.
Kickstarting Proactive Network Maintenance with the Proactive Operations Platform and Example Application
By Jason Rupe, Ph.D. & Jingjie Zhu, CableLabs
Helm: Self-Service Customer Data Platform
By Sriharsha Gangam, Comcast Cable
Improving Operational Intelligence for Maintaining Cable Networks
By Mike Spaulding, Comcast Corporation; Larry Wolcott, Comcast Corporation; Jason Rupe, CableLabs
Characterizing Network Problems Using DOCSIS® 3.1 OFDM RxMER Per Subcarrier Data
By Ron Hranac, Cisco Systems; James Medlock, Akleza,Inc.; Bruce Currivan, JJP Development; Roger Fish & Tom Kolze, Broadcom; Jason Rupe & Tom Williams, CableLabs; Larry Wolcott, Comcast
Profile Management Informed Proactive Network Maintenance
By Jason Rupe & Jingjie Zhu, CableLabs
Solving All Our Problems…Sort of…Blockchain Integrity, Security, and Reliability for Cable Use Cases
By Steve Goeringer & Dr. Jason Rupe, CableLabs
A General-Purpose Operations Cost Model to Support Proactive Network Maintenance and More
By Jason Rupe, Ph.D., CableLabs
More Results >>