Invention Grant
- Patent Title: Optimizing Border Gateway Protocol (BGP) traffic using reinforcement learning
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Application No.: US16587404Application Date: 2019-09-30
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Publication No.: US11695682B2Publication Date: 2023-07-04
- Inventor: Cengiz Alaettinoglu , Shelley A. Bhalla , Emil Janulewicz , Thomas Triplet , David Côté
- Applicant: Ciena Corporation
- Applicant Address: US MD Hanover
- Assignee: Ciena Corporation
- Current Assignee: Ciena Corporation
- Current Assignee Address: US MD Hanover
- Agency: Baratta Law PLLC
- Agent Lawrence A. Baratta, Jr.
- Main IPC: H04L45/02
- IPC: H04L45/02 ; G06F30/20

Abstract:
Systems, methods, and computer-readable media including software logic are provided for optimizing Border Gateway Protocol (BGP) traffic in a telecommunications network. In one embodiment, systems and methods include, with a current state of one or more inter-Autonomous Systems (AS) links, causing performance of an action in the telecommunication network, determining a metric based on the action to determine an updated current state of the one or more inter-AS links, and utilizing the metric to perform a further action to achieve one or more rewards associated with the one or more inter-AS links.
Public/Granted literature
- US20210099378A1 Optimizing Border Gateway Protocol (BGP) traffic using Reinforcement Learning Public/Granted day:2021-04-01
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