Autonomous Storage Device Event Logging for Failure Analysis
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Solution Overview
Problem
Conventional failure analysis systems for storage devices often lack accurate diagnostic data, leading to uncertain or ineffective failure analysis, as they do not capture root cause data and cannot record events in real time, especially when the host interface fails, resulting in incomplete troubleshooting and warranty determination.
Innovation Solution
The implementation of autonomous event logging in storage device firmware, which monitors and records events in real time from power on to power off, including error codes, raw data, and timestamps, distinguishing between storage device and host interface errors, and records data to flash memory even if the host interface is inoperative.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional failure analysis systems are used, then device complexity is reduced, but measurement precision and reliability of failure analysis deteriorate due to lack of real-time diagnostic data
Solution Approach 1:
The storage device autonomously monitors its own operational parameters, detects errors, and logs diagnostic data without requiring external host system intervention. The firmware self-manages the event logging process, selecting which events to record and storing them in flash memory independently of the host interface.
Solution Approach 2:
The system continuously monitors and logs operational parameters and error events in real-time from power-on to power-off, capturing diagnostic data before failures occur or before the host interface may fail. This preliminary data collection ensures that comprehensive diagnostic information is available when needed for failure analysis.
2Reliability
If real-time event monitoring is implemented, then reliability of failure analysis is improved, but loss of time for data collection increases
Solution Approach 1:
The event logging system operates continuously from power-on to power-off without interruption, constantly monitoring operational parameters and capturing errors as they occur. This continuous monitoring ensures that no critical diagnostic data is lost and that the full timeline of events is preserved for accurate failure analysis.
3Measurement precision
If autonomous logging to flash memory is implemented, then measurement precision is improved, but use of energy increases
Solution Approach 1:
The system selectively logs only the most critical error events and operational parameters relevant to failure analysis, rather than continuously writing all possible data. This partial action approach ensures that sufficient diagnostic information is captured while minimizing unnecessary energy consumption from constant data writing operations.
Data Source
AI summary
A method and system for providing autonomous event logging and retrieval for failure analysis. In one implementation, storage device firmware monitors and records events (e.g., storage device errors and/or failures) to the storage device flash in substantially real time from power on of the storage device to power off. Additionally, diagnostic data relating to an event, including a time stamp and storage device environmental conditions are recorded. The logged event data may be utilized to streamline failure analysis by determining whether the storage device failed and if so, when the storage device failed and what the conditions of the storage device were at the time of the failure. Such information may be used for failure, warranty, integrator, and/or troubleshooting analysis.