Stacking System Failure Handling Logic for Group Selection
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Solution Overview
Problem
The Multi-Active Detection method in stacking systems may incorrectly determine which group to maintain after a failure, potentially disabling an important group and enabling a less important one, leading to degraded network performance and stability.
Innovation Solution
Implementing a failure handling logic that uses a preconfigured reserve strategy based on decision parameters such as failure level, number of devices, priority, and other criteria to determine which group to maintain after a stacking system divides, ensuring the group with higher bandwidth and processing capacity is reserved.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the Multi-Active Detection method is used to determine which group to maintain after a failure, then the system can automatically recover from failures, but it may incorrectly determine which group to maintain, potentially disabling an important group and enabling a less important one
Solution Approach 1:
The patent introduces multiple decision parameters (failure level, number of devices, priority, bandwidth, processing capacity) to replace the simple Multi-Active Detection method. By changing the selection criteria from a basic active/detected state to a multi-parameter evaluation system, the system achieves more accurate group selection while maintaining automatic failure recovery capability
Solution Approach 2:
The system implements a feedback mechanism where the master device collects decision parameters from all member devices, evaluates them against a preconfigured reserve strategy, and makes an informed decision about which group to maintain. This feedback loop ensures that the group with higher importance and capability is selected, resolving the accuracy issue while preserving reliability
2Speed
If a simple failure detection method is used, then the system response time is fast, but the decision accuracy about which group to maintain is insufficient
Solution Approach 1:
The system performs preliminary actions by preconfiguring the reserve strategy and collecting decision parameters immediately upon failure detection. The master device proactively gathers information about failure level, device counts, priorities, bandwidth, and processing capacity before making the maintenance decision, enabling both fast response and accurate selection
Solution Approach 2:
The patent transforms the simple detection approach into a multi-parameter evaluation system. By incorporating multiple dimensions of information (not just detection status but also capability metrics), the system achieves accurate group selection without significantly compromising response speed, as the evaluation is performed systematically rather than through multiple sequential detection rounds
Data Source
AI summary
This application provides a method for deciding on handling a failure of a stacking system, where the method includes: collecting values of a decision parameter for respective groups after the stacking system is divided; and applying a preset reserve strategy according to the values of the decision parameter for the respective groups to decide on one of the groups to be reserved.


