System for machine learning (ML) based network resilience and steering

A computer program product for machine learning (ML) based network resilience and steering, the computer program product comprising a non-transitory computer-readable medium comprising code causing an apparatus to:

• monitor data movement across one or more network ports;
• extract network performance indicators associated with the data movement;
• determine, via a machine learning (ML) subsystem, a likelihood of failure for an operational first network port based on at least the network performance indicators;
• determine that a status of the first network port is indicative of operational failure in an instance in which the likelihood of failure for the first network port satisfies a failure threshold;
• determine that the first network port is associated with a first network port cluster;
• determine a redundant network port and an intermediate network switch associated with the first network port cluster;
• trigger the intermediate network switch to reroute a portion of network traffic from the first network port to the redundant network port in response to the status of the first network port, by terminating a communication link to the first network port;
• and
• re-trigger the intermediate switch to reroute the portion of network traffic back to the first network port upon detecting recovery of the first network port, by re-establishing the communication link.

A method for machine learning (ML) based network resilience and steering, the method comprising:

• monitoring data movement across one or more network ports;
• extracting network performance indicators associated with the data movement;
• determining, via a machine learning (ML) subsystem, a likelihood of failure for an operational first network port based on at least the network performance indicators;
• determining that a status of the first network port is indicative of operational failure in an instance in which the likelihood of failure for the first network port satisfies a failure threshold;
• determining that the first network port is associated with a first network port cluster;
• determining a redundant network port and an intermediate network switch associated with the first network port cluster;
• and
• triggering the intermediate network switch to reroute a portion of network traffic from the first network port to the redundant network port in response to the status of the first network port, by terminating a communication link to the first network port;
• and
• re-triggering the intermediate switch to reroute the portion of network traffic back to the first network port upon detecting recovery of the first network port, by re-establishing the communication link.