Server Node Temperature Monitoring with Automatic Replacing Mechanism
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Solution Overview
Problem
In container systems for server monitoring, temperature information from specific areas cannot be continuously reported when the main node is disconnected, leading to inefficiencies in heat dissipation control and potential system performance degradation.
Innovation Solution
A hierarchical server structure is implemented, where a master server node selects a main node to collect and report temperature information, and a replacing mechanism is used to switch to another server as a replacing node if the main node becomes disconnected, ensuring continuous data collection and adjustment of heat dissipation devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a main node is selected to collect temperature information in each area, then temperature monitoring efficiency is improved, but system reliability deteriorates when the main node becomes disconnected
Solution Approach 1:
The system pre-establishes a list of candidate replacing nodes for each area before the main node fails. When disconnection occurs, the master server node can immediately select from pre-identified candidates, avoiding detection delays and ensuring continuous temperature monitoring without interruption.
Solution Approach 2:
The system prepares backup replacing nodes in advance for each area, creating a cushion against main node failures. This beforehand preparation ensures that when disconnection occurs, temperature collection continues uninterrupted through the pre-identified replacing node, maintaining system reliability.
2Measurement precision
If the master server node collects temperature information directly from all servers, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system divides the server fleet into multiple areas, each with its own main node responsible for collecting temperature data from servers in that specific area. This segmentation reduces the master server node's complexity by delegating data collection tasks to area-specific main nodes while maintaining comprehensive monitoring coverage.
Solution Approach 2:
Main nodes act as intermediaries between the master server node and individual servers. These intermediaries collect and synthesize temperature information from their respective areas, reducing the communication overhead and complexity at the master server node while ensuring accurate temperature data collection from all servers.
3Reliability
If a replacing mechanism is implemented to switch main nodes, then system reliability is improved, but device complexity increases
Solution Approach 1:
The system pre-identifies and registers candidate replacing nodes for each area before the main node fails. This preliminary action simplifies the replacement process by eliminating the need for real-time search and selection, reducing operational complexity while maintaining high reliability through automatic node switching.
Data Source
AI summary
A container system and a monitoring method for the container system are provided. The container system includes a plurality of servers and a master server node. The servers are arranged in N areas. The master server node is coupled to the servers. The master server node selects one of a plurality of servers in an ith area to be a main node of the ith area. The main node collects temperature information of the servers in the ith area to transmit highest temperature information to the master server node. When the master server node cannot connect to the main node, the master server node selects one of other servers connected to the master server node in the ith area to be a replacing node, and adjusts the replacing node to be the main node of the ith area to collect the temperature information in the ith area continuously.