Electronic Device Component EID Fault Detection Using Metadata
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Solution Overview
Problem
Existing electronic devices face issues with endpoint identifier (EID) mis-assignments, such as EID loss and duplication, leading to operational conflicts and failures in management operations.
Innovation Solution
A system and method for detecting EID faults using a management controller and a control system that utilizes resource metadata and MCTP data to identify mis-assignments by comparing the number of assigned EIDs with the expected device components, employing reboot stress tests to detect faults.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If EID assignment is performed in management operations, then device components can be accessed and managed, but EID mis-assignments (loss and duplication) occur leading to operational conflicts
Solution Approach 1:
The system performs preliminary actions by collecting EID assignment data during management operations and storing it for later verification. The control system proactively gathers metadata and MCTP data before conflicts occur, enabling preventive detection of EID mis-assignments through subsequent comparison and analysis.
Solution Approach 2:
The system implements feedback by continuously monitoring EID assignments through collected data and comparing actual assignments against expected configurations. When discrepancies are detected (such as duplicate EIDs or missing assignments), the system generates alerts and notifications to correct the mis-assignments, ensuring ongoing accuracy.
2Productivity
If EID faults are not detected, then management operations continue without interruption, but operational conflicts and failures occur
Solution Approach 1:
The control system continuously monitors EID assignments by comparing collected metadata and MCTP data, providing real-time feedback on assignment accuracy. When faults are detected, the system alerts operators while maintaining operation continuity, allowing for timely correction without complete system interruption.
Solution Approach 2:
The system performs self-diagnosis by automatically collecting and analyzing EID assignment data from multiple sources. The control system independently identifies mis-assignments through data comparison and generates appropriate alerts, reducing the need for external intervention while maintaining system reliability.
3Measurement precision
If comprehensive data collection is performed to detect EID faults, then detection accuracy is improved, but system complexity increases
Solution Approach 1:
The control system performs multiple functions using a unified approach: it collects metadata, gathers MCTP data, compares EID assignments, detects faults, and generates alerts. This multi-functional design consolidates what could be separate complex systems into a single integrated solution, managing complexity while maintaining comprehensive detection capabilities.
Solution Approach 2:
The system automatically collects necessary data from existing management operations and system components without requiring additional external tools or complex manual processes. By leveraging already-available metadata and MCTP data from normal operations, the system achieves accurate detection while minimizing added complexity.
Data Source
AI summary
A system retrieves, from a management controller of an electronic device, identifiers of device components in the electronic device, where the retrieved identifiers of the device components are assigned in management operations according to a management protocol. The system accesses resource metadata representing resources of the electronic device, the resource metadata stored at the management controller. The system checks the retrieved identifiers assigned in the management operations according to the management protocol based on information of the resources represented by the resource metadata. Based on the check, the system determines whether a fault is present in the electronic device.