RIB Agent Route Analysis for Network Traffic Optimization
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Solution Overview
Problem
Current network devices lack the capability to effectively utilize a richer set of route attributes for route analysis, as routing protocol agents have limited visibility and information, leading to suboptimal route selection and management.
Innovation Solution
Implementing route selection policies through a Routing Information Base (RIB) agent, which has a global view of all routing protocol information, to influence route actions and decisions by considering a broader range of attributes beyond administrative distance, such as monetary cost and security factors, and applying policies for redistribution and next-hop modification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If routing protocol agents perform route analysis with limited visibility, then device complexity is reduced, but route selection quality deteriorates
Solution Approach 1:
The patent introduces a RIB agent as an intermediary component that receives route information from multiple routing protocol agents and performs centralized route analysis. This mediator has global visibility of all routing information and applies routing policies to select optimal routes, thereby improving route selection quality without increasing the complexity of individual protocol agents.
Solution Approach 2:
The patent shifts route analysis from the protocol agent dimension to the RIB agent dimension, creating a hierarchical structure where protocol agents contribute route information and the RIB agent performs comprehensive analysis. This dimensional shift allows route analysis to leverage global information while keeping protocol agents simple.
2Ease of operation
If protocol agents have limited route information visibility, then ease of operation is improved, but loss of information increases
Solution Approach 1:
The RIB agent serves as an intermediary that collects comprehensive route information from all protocol agents, preserving complete route attributes including monetary cost, security factors, and other rich attributes. Protocol agents maintain operational simplicity while the RIB agent retains full information for policy-based routing decisions.
3Manufacturing precision
If route selection uses only administrative distance, then device complexity is reduced, but manufacturing precision deteriorates
Solution Approach 1:
The patent extends route selection from using only administrative distance to considering multiple parameters including monetary cost, security factors, and other rich route attributes. The RIB agent evaluates these multiple parameters to make precise routing decisions, improving route selection precision while centralizing complexity in the RIB agent.
4Adaptability or versatility
If routing policies are implemented at protocol agent level, then adaptability is improved, but device complexity increases
Solution Approach 1:
The patent implements routing policies at the RIB agent level, which serves as a universal component handling route analysis for all protocol agents. This centralized policy implementation provides adaptability and flexibility while avoiding duplication of policy logic across multiple protocol agents, thereby controlling overall system complexity.
Data Source
AI summary
Embodiments described herein relate to techniques for route control. The techniques may include obtaining, by a routing information base (RIB) agent, a route policy for performing a route action; receiving, by the RIB agent, a route from a routing protocol; analyzing, by the RIB agent, the route using to make a determination about whether to perform the route action; and performing, by the RIB agent, the route action based on the determination. Route actions may include actions relating to route modification, route redistribution, modifications of various attributes of a route, etc.