18678206. CROSS-APPLICATION PREDICTIVE ROUTING simplified abstract (Cisco Technology, Inc.)
Contents
CROSS-APPLICATION PREDICTIVE ROUTING
Organization Name
Inventor(s)
Grégory Mermoud of Venthône (CH)
Grégoire Magendie of Lamorlaye (FR)
Jean-Philippe Vasseur of Combloux (FR)
CROSS-APPLICATION PREDICTIVE ROUTING - A simplified explanation of the abstract
This abstract first appeared for US patent application 18678206 titled 'CROSS-APPLICATION PREDICTIVE ROUTING
Simplified Explanation: The patent application describes a device that predicts quality metrics for different network paths for multiple applications, generates a congestion risk prediction model, and optimizes traffic flow assignments based on these predictions.
- Predicts quality metrics for network paths for various applications
- Generates congestion risk prediction model
- Optimizes traffic flow assignments based on predictions
- Routes traffic flows in the network via selected paths
Potential Applications: This technology could be applied in telecommunications, network management, traffic optimization, and routing algorithms.
Problems Solved: This technology addresses the challenges of network congestion, inefficient traffic routing, and suboptimal quality of service for different applications.
Benefits: The benefits of this technology include improved network performance, reduced congestion, optimized traffic routing, and enhanced quality of service for various applications.
Commercial Applications: "Network Traffic Optimization Device for Predicting Congestion Risk and Routing Traffic Flows" could be utilized in telecommunications companies, network service providers, cloud computing services, and any organization with complex network infrastructure.
Prior Art: Prior research in network traffic optimization, congestion prediction models, and traffic routing algorithms could be relevant to this technology.
Frequently Updated Research: Stay updated on advancements in network traffic optimization, congestion prediction, and routing algorithms to enhance the efficiency and effectiveness of this technology.
Questions about Network Traffic Optimization: 1. How does this technology improve network performance compared to traditional routing methods? 2. What are the key factors considered in predicting congestion risk for traffic flows in the network?
Original Abstract Submitted
In one embodiment, a device predicts, for each of a plurality of applications accessible via a network, quality metrics for different network paths where traffic for that application be routed via one or more paths among the different network paths. The device generates a congestion risk prediction model that predicts a risk of traffic congestion for a particular combination of: applications from among the plurality of applications, traffic flows associated with those applications, and paths among the network paths via which those traffic flows may be routed. The device performs a constrained optimization based on the predicted quality metrics and on the risk of traffic congestion predicted by the model, to assign traffic flows for the applications to a selected subset of the different paths. The device causes the traffic flows to be routed in the network via the selected subset of the different paths to which they are assigned.
