VISUALIZING PREDICTED CUSTOMER BANDWIDTH UTILIZATION BASED ON UTILIZATION HISTORY

A method for providing a predicting bandwidth utilization for a customer of a connectivity service provider is disclosed. The method includes receiving bandwidth utilization data over time for a customer of a connectivity service provider. The method further includes training a machine learning mode...

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Bibliographic Details
Main Authors YERMAKOV Sergey, EWERT Travis Duane
Format Patent
LanguageEnglish
Published 25.01.2018
Subjects
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
TELEPHONIC COMMUNICATION
TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION
WIRELESS COMMUNICATIONS NETWORKS
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Summary:A method for providing a predicting bandwidth utilization for a customer of a connectivity service provider is disclosed. The method includes receiving bandwidth utilization data over time for a customer of a connectivity service provider. The method further includes training a machine learning model for the bandwidth utilization data during a time period based on the received data. In an embodiment, training the machine learning model includes determining a value for a parameter. The bandwidth utilization may be substantially periodic over the time period. Relying on the periodicity of the bandwidth utilization, the method further includes predicting, using the trained model, future bandwidth utilization over time.
Bibliography:Application Number: US201615217706