Cluster Node Message Interception for Fault Tolerance
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Solution Overview
Problem
Existing cluster systems face challenges in maintaining message processing functionality when a node becomes temporarily unavailable, particularly in large-scale IMS networks where sharding techniques increase routing complexity and memory requirements.
Innovation Solution
A method and apparatus for processing messages in a cluster of nodes, where a node intercepts and handles messages intended for another unavailable node, performing necessary actions locally and transmitting response messages, thereby ensuring continuous operation without the need for redundant node pairs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fault-tolerant pairs of nodes are deployed to ensure continuous operation during node failure, then system reliability is improved, but device complexity and resource requirements increase
Solution Approach 1:
Any node in the cluster can perform multiple functions: handling its own messages and also intercepting/handling messages for other nodes. This universal capability eliminates the need for dedicated standby nodes, as each node is equipped to handle any message routing scenario, thereby maintaining reliability without increasing device complexity
Solution Approach 2:
Nodes autonomously determine whether to handle a message locally or forward it to the destination node based on availability information. This self-service mechanism allows the cluster to automatically adapt to node failures without requiring complex external coordination or pre-configured failover relationships, reducing both device complexity and resource requirements
2Reliability
If messages are routed through available nodes in a cluster, then fault tolerance is improved, but message processing time increases
Solution Approach 1:
The system pre-determines message handling decisions by checking node availability before messages are sent. Nodes can proactively take over message handling for unavailable nodes, and this availability information is maintained in advance, allowing immediate local processing without time-consuming runtime routing decisions or message forwarding delays
Solution Approach 2:
The cluster communication mechanism acts as an intermediary that efficiently routes messages. When a node is unavailable, another node intercepts the message and handles it locally, serving as an intermediary that prevents message loss without requiring complex multi-hop routing, thereby maintaining fast processing times while ensuring fault tolerance
3Productivity
If sharding techniques are used to distribute messages across nodes, then system scalability is improved, but routing complexity increases
Solution Approach 1:
The cluster is segmented into independent nodes, each capable of autonomous message handling. This segmentation allows the system to scale by simply adding more independent nodes without increasing overall routing complexity, as each node operates independently and can handle any message type, eliminating the need for complex shard-aware routing logic
Solution Approach 2:
Each node in the sharded cluster is designed with universal capabilities to handle any message type and any destination node. This universality simplifies routing decisions, as nodes don't need to maintain complex routing tables specific to shard configurations, thereby enabling system scalability while keeping routing complexity manageable
Data Source
AI summary
A message is processed at a node in a cluster of nodes. The message is received at the node. The message is addressed to at least one other node in the cluster. At least one action associated with the message is performed at the node. A response message is transmitted indicating that the at least one action has been performed.