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AssigneeVerizon Patent and Licensing Inc.
InventorsSuresh Koneri CHANDRASEKARAN, Debanik DEY
Estimating the term…
Disclosed are systems and methods that provide a computerized framework for a decision intelligence (DI)-based bandwidth forecasting framework that provides proactive network management. By leveraging advanced artificial intelligence and/or machine learning (AI/ML) models, the disclosed framework can analyze historical network traffic patterns alongside current conditions to predict future bandwidth availability with high accuracy. Such predictions can be leveraged to anticipate potential congestion points (e.g., seconds, minutes or hours) before they materialize, providing crucial time for preventive measures. Indeed, the framework can operate to mitigate, configure, stop and/or modify network traffic, connections, requests and/or policies to avoid any network degradation that the framework predicted to ensure network stability during demand surges can be handled while ensuring fair resource allocation among users.
A method comprising:
A system comprising:
A non-transitory computer-readable storage medium tangibly encoded with computer-executable instructions, that when executed by a device, perform a method comprising:
Dependencies are inferred from the claim text.