Cisco technology, inc. (20240305553). PREDICTIVE BGP PEERING simplified abstract
Contents
PREDICTIVE BGP PEERING
Organization Name
Inventor(s)
Jean-Philippe Vasseur of Combloux (FR)
Eduard Schornig of Haarlem (NL)
Grégory Mermoud of Venthône (CH)
PREDICTIVE BGP PEERING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240305553 titled 'PREDICTIVE BGP PEERING
The abstract describes a device that determines a mapping between a network destination and BGP peers across multiple autonomous systems, conducts probing tests along various paths to the destination, generates predicted performance metrics based on the test results, and configures BGP peers with peering policies to route application traffic efficiently.
- Device determines mapping between network destination and BGP peers across autonomous systems
- Conducts probing tests along multiple paths to the destination
- Generates predicted performance metrics based on test results
- Configures BGP peers with peering policies for efficient routing of application traffic
- Improves network performance and reliability
Potential Applications: - Network optimization - Traffic routing efficiency - Performance monitoring and prediction
Problems Solved: - Inefficient routing of application traffic - Lack of visibility into path performance - Suboptimal network performance
Benefits: - Enhanced network efficiency - Improved application performance - Predictive routing for better reliability
Commercial Applications: Title: "Predictive Routing Optimization for Enhanced Network Performance" This technology can be utilized by telecommunications companies, cloud service providers, and large enterprises to optimize their network routing and improve overall performance, leading to better user experience and cost savings.
Questions about Predictive Routing Optimization: 1. How does this technology impact network reliability and performance? This technology significantly improves network reliability and performance by predicting and optimizing routing paths for application traffic, leading to reduced latency and better user experience.
2. What are the potential cost savings associated with implementing predictive routing optimization? By efficiently routing application traffic and reducing network congestion, organizations can save costs on bandwidth usage and improve overall network efficiency.
Original Abstract Submitted
in one embodiment, a device determines a mapping between a network destination and border gateway protocol (bgp) peers located across a plurality of autonomous systems for which the network destination is reachable. the device causes, based on the mapping, performance of probing tests along a plurality of paths to the network destination and via the bgp peers, to obtain path performance measurements for the plurality of paths. the device uses a prediction model to generate predicted performance metrics for the plurality of paths based on the path performance measurements. the device configures, based on the predicted performance metrics for the plurality of paths, the bgp peers with bgp peering policies to convey application traffic associated with the network destination via particular path from among the plurality of paths.
