Distributed calculation of customer bandwidth utilization models

A system for providing a bandwidth utilization model for a circuit associated with a customer network of a connectivity service provider (CSP) network, the system comprising:

• an aggregation router;
• a network interface device (NID) that serves as an edge router connecting the customer network to the CSP network, comprising:
• a network interface module configured to:
• forward bandwidth utilization data for a circuit associated with a customer corresponding to the utilization database, wherein the utilization data comprises utilization metrics for time slices within a period of time,
• receive the bandwidth utilization model corresponding to the time period from a machine learning (ML) database, and
• send an updated bandwidth utilization model corresponding to the time period to the ML database at a sending time after the time period has ended such that the updated bandwidth model forecasts bandwidth utilization at time slices during a future time period according to the utilization of respective time slices during the time period;
• a memory configured to store the bandwidth utilization model and the bandwidth utilization data corresponding to the time period;
• and
• a machine learning module configured to train the updated bandwidth utilization model using the bandwidth utilization model and the bandwidth utilization data corresponding to the time period, wherein the training of the updated bandwidth utilization model comprises determining values for a set of parameters;
• and
• an aggregation server comprising:
• a data collector module configured to:
• receive bandwidth utilization data from the NID,
• send the bandwidth utilization model to the NID, and
• receive the updated bandwidth utilization model from the NID at the sending time predetermined by the CSP network;
• a utilization database configured to store the bandwidth utilization data;
• and
• the ML database configured to store the updated bandwidth utilization model corresponding to the time period.

A program storage device tangibly embodying a program of instructions executable by at least one machine to perform a method for providing a predicting bandwidth utilization for a customer of a connectivity service provider (CSP) network, the method comprising:

• collecting, at a network interface device (NID), bandwidth utilization data for a circuit associated with a customer network, the bandwidth utilization data comprising utilization metrics for time slices within a time period, wherein the NID serves as an edge router between the customer network to the CSP network;
• forwarding, from the NID, the bandwidth utilization data to a utilization database within the CSP network;
• receiving, at the NID, the bandwidth utilization model corresponding to the circuit for the time period from a machine learning (ML) model database within the CSP network;
• training, at the NID, an updated bandwidth utilization model for the circuit based on the bandwidth utilization model and the bandwidth utilization data corresponding to the time period;
• and
• sending, from the NID, the updated bandwidth utilization model to the ML database at a sending time after the time period of the bandwidth utilization model such that the updated bandwidth model forecasts bandwidth utilization at time slices during a future time period according to the utilization of respective time slices during the time period.