Routing Table Comparison for Load Balancer Route Mismatch Detection
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Solution Overview
Problem
Load balancers in network management face challenges with route changes, leading to potential mismatches between desired and actual routes, which can affect application availability and responsiveness.
Innovation Solution
A method and system for identifying route mismatches by creating expected and actual routing tables, comparing them, and taking appropriate actions based on the comparison, including updating routing tables and triggering alarms when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If load balancers are used to distribute network traffic, then application availability and responsiveness are improved, but route management complexity increases leading to potential route mismatches
Solution Approach 1:
The patent implements a feedback mechanism where the routing agent continuously compares actual routing tables (received from advertising agents) against expected routing tables (from the database). When mismatches are detected, the system triggers alarms and can automatically update routing tables, creating a closed-loop control system that maintains route accuracy despite the complexity introduced by load balancers
Solution Approach 2:
The routing agent acts as an intermediary component between the database of expected routing information and the actual network routing tables. It receives expected routing information from the database, compares it with actual routing information from advertising agents, and mediates the detection and resolution of route mismatches, thereby managing the complexity introduced by load balancers
2Productivity
If load balancer routes are changed to improve performance, then traffic distribution is optimized, but route mismatches between desired and actual routes occur
Solution Approach 1:
The system performs preliminary actions by pre-defining expected routing tables in the database before actual routing changes occur. When routing changes are made to optimize traffic distribution, the routing agent compares the new actual routes against the pre-established expected routes, enabling early detection of mismatches before they impact service quality
Solution Approach 2:
The continuous comparison mechanism provides feedback on whether routing changes are achieving the desired效果. By comparing actual routing tables against expected ones, the system can identify when route changes have led to mismatches and trigger corrective actions, ensuring route accuracy is maintained despite dynamic routing optimizations
3Measurement precision
If manual route verification is performed, then route accuracy can be confirmed, but system responsiveness and availability are reduced
Solution Approach 1:
The system implements self-service by automatically performing route verification through the routing agent that continuously compares actual and expected routing tables without requiring manual intervention. This automated self-verification process maintains high route accuracy while preserving system responsiveness, as the comparison occurs in the background without disrupting normal operations
Solution Approach 2:
The routing verification operates continuously in the background, maintaining constant monitoring of route accuracy without interrupting system operations. The routing agent continuously receives and compares routing information, ensuring route accuracy is maintained at all times while the system remains fully responsive to traffic demands
Data Source
AI summary
Techniques for route mismatch identification are disclosed herein. The techniques include creating in memory an expected routing table based on expected routing information received by a host from a database accessible by a plurality of hosts. The techniques further include creating in memory an actual routing table based on actual routing information received by the host. The techniques further include comparing the actual routing table and the expected routing table. The techniques further include taking an action based on the comparison of the actual routing table and the expected routing table.


