Hot-Swapping Cluster Components via Quality Monitoring

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Solution Overview

Problem

Traditional methods for replacing, upgrading, or repairing hardware components in computing devices require shutting down the entire system, leading to downtime and potential data loss.

Innovation Solution

An apparatus and method for hot-swapping a component of a component unit in a cluster, which involves a processor and memory that receive quality control data, determine a swappable component, and initiate a hot-swap procedure by deregistering the swappable component and registering a replacement component.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of repair

If traditional hardware component replacement methods are used, then component replacement can be performed, but system downtime increases and data loss may occur

Engineering Contradiction:
Improvecomponent replacement capabilityVSAvoidsystem downtime
Core Design Contradiction:
Ease of repairVSLoss of time

Solution Approach 1:

The system divides the hardware component into a swappable module that can be independently replaced from the main system. The component unit is segmented into replaceable parts with standardized interfaces, allowing the module to be swapped without affecting the entire system's operation. This enables repair operations to be performed while the system remains running.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system performs preliminary actions by pre-registering replacement components and maintaining quality control data about component performance. Before a component fails or needs replacement, the system has already prepared replacement modules and verified their compatibility, so when replacement is needed, the process can be executed quickly without system shutdown.

Inventive Principle:
Principle #10Preliminary action

2Ease of repair

If traditional hardware component replacement methods are used, then component replacement can be performed, but data loss may occur

Engineering Contradiction:
Improvecomponent replacement capabilityVSAvoiddata loss
Core Design Contradiction:
Ease of repairVSLoss of information

Solution Approach 1:

The system continuously collects quality control data from components during operation and uses this feedback to monitor component health and performance. This feedback mechanism allows the system to track data associated with components and ensure data integrity during the replacement process, preventing data loss by maintaining continuous monitoring and verification.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system creates virtual copies or registries of component data and configurations before physical replacement occurs. Quality control data, performance metrics, and associated information are duplicated in the system's memory, allowing the replacement process to proceed without losing any critical data about the component or its operational history.

Inventive Principle:
Principle #26Copying

3Reliability

If quality control data is collected from all functioning components, then component selection for replacement is optimized, but system complexity increases

Engineering Contradiction:
Improvecomponent selection accuracyVSAvoiddata collection and processing complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system applies local quality monitoring by collecting and analyzing quality control data specific to each individual component's performance characteristics. Rather than treating all components uniformly, the system monitors each component's unique metrics (temperature, performance, error rates) and makes localized replacement decisions based on that specific component's quality data, optimizing selection accuracy.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The system performs self-diagnosis and self-monitoring by automatically collecting quality control data from components and using this information to determine when replacement is needed. The system serves itself by making intelligent decisions about which components to replace based on real-time quality data, reducing the need for external intervention and manual analysis.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS20250196354A1Apparatus and method of hot-swapping a component of a component unit in a cluster
Publication Date: 2025.06.19 PRAMANA INC
  • US20250196354A1 patent drawing
  • US20250196354A1 patent drawing
  • US20250196354A1 patent drawing

AI summary

An apparatus and method of hot-swapping a component of a component unit in a cluster. The apparatus includes a memory communicatively connected to at least a processor, the memory contains instructions configuring the at least a processor to receive quality control data from each functioning component of a component unit in at least a cluster, determine a degree of quality of each functioning component of the component unit in the at least a cluster as a function of the quality control data, determine a swappable component in the component unit of the at least a cluster as a function of the degree of quality and initiate a hot-swap procedure for the swappable component, wherein initiating the hot-swap procedure includes deregistering the swappable component from the component unit and registering a replacement component in place of the swappable component to the component unit.