Automatic customer bandwidth utilization analysis for promoting dynamic capacity

A network customer may support a plurality of network connectivity services (such as an E-line). A network connectivity service may experience spikes of traffic, and therefore, spikes of bandwidth usage. Dynamic capacity allows a network connectivity service to increase its available bandwidth durin...

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Main Authors Caputo, II, Pete J, Yermakov, Sergey
Format Patent
LanguageEnglish
Published 11.05.2021
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Abstract A network customer may support a plurality of network connectivity services (such as an E-line). A network connectivity service may experience spikes of traffic, and therefore, spikes of bandwidth usage. Dynamic capacity allows a network connectivity service to increase its available bandwidth during such traffic spikes. A computer-implemented method is disclosed that facilitates identifying network customers that might be interested in purchasing dynamic capacity. The method comprises collecting bandwidth utilization data of network connectivity services supported by each network customer, and identifying those connectivity services that exhibit patterns (e.g., cogent peaks) in their utilization data indicating the network connectivity service is a candidate for dynamic capacity. A trained pattern recognition algorithm is applied on collected utilization data of all network connectivity services and identifies those connectivity services that match the patterns, within a range of tolerance, in their utilization.
AbstractList A network customer may support a plurality of network connectivity services (such as an E-line). A network connectivity service may experience spikes of traffic, and therefore, spikes of bandwidth usage. Dynamic capacity allows a network connectivity service to increase its available bandwidth during such traffic spikes. A computer-implemented method is disclosed that facilitates identifying network customers that might be interested in purchasing dynamic capacity. The method comprises collecting bandwidth utilization data of network connectivity services supported by each network customer, and identifying those connectivity services that exhibit patterns (e.g., cogent peaks) in their utilization data indicating the network connectivity service is a candidate for dynamic capacity. A trained pattern recognition algorithm is applied on collected utilization data of all network connectivity services and identifies those connectivity services that match the patterns, within a range of tolerance, in their utilization.
Author Yermakov, Sergey
Caputo, II, Pete J
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Snippet A network customer may support a plurality of network connectivity services (such as an E-line). A network connectivity service may experience spikes of...
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SubjectTerms ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION
Title Automatic customer bandwidth utilization analysis for promoting dynamic capacity
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