Latency-Based Routing for Active Replication Load Balancing
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Solution Overview
Problem
Existing network systems face challenges in efficiently routing queries and balancing load in active replication topologies due to the lack of data on replication latency among network nodes, which affects performance conditions.
Innovation Solution
The system monitors and distributes data on relative replication latency among content storage sites in a network repository, allowing a traffic and control manager unit to determine routing pathways for queries based on performance conditions and replication latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple master nodes are used in active replication topology, then system reliability and availability are improved, but routing complexity and operational difficulty increase
Solution Approach 1:
The patent implements feedback mechanisms where master nodes continuously monitor replication latency to destination nodes and feed this information back to the routing manager. The routing manager uses this feedback to dynamically adjust routing decisions, selecting optimal paths based on real-time latency data while maintaining high availability through multiple master nodes.
Solution Approach 2:
The system performs self-service by automatically monitoring replication latency and making routing decisions without manual intervention. The routing manager autonomously selects optimal paths based on latency feedback, eliminating the need for complex manual routing configurations while maintaining system reliability.
2Measurement precision
If replication latency is monitored continuously, then routing accuracy is improved, but network overhead and processing load increase
Solution Approach 1:
The patent implements periodic monitoring of replication latency rather than continuous monitoring. Master nodes monitor latency at intervals and report to the routing manager periodically, achieving sufficient routing accuracy without the excessive network overhead and processing load of continuous monitoring.
Data Source
AI summary
Methods and systems for load balancing are described. A network node may replicate content. A lag time may be determined. A data structure may be generated that comprises the lag time.