Imran Pasha


Techniques are described herein for a reinforcement learning (RL) model for dynamic optimization of switch port/queue buffer allocation. According to the described techniques, a trained neural network model can be installed on a switch or on a network management server to dynamically adjust the shared/dedicated buffer allocation for the low/high priority queues in case of a frame loss. The dynamic buffer adjustment continues till the port/queue no longer experience a frame loss.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.