Automated Diagnostic System for Storage Device Reliability
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The increasing demand for storage space due to digital data growth leads to vulnerabilities in storage device performance, data unavailability, and data loss, which existing technologies fail to address efficiently, resulting in time-consuming and costly manual diagnostic processes for support engineers.
Innovation Solution
An automated method and apparatus that store debug data associated with storage devices, analyze obtained data using various analysis types (hardware, software, root cause, and performance analyses), and provide reports identifying issues and action plans to resolve them, thereby reducing storage device vulnerability to degraded performance and data loss.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual diagnostic processes are used for storage device issues, then support engineers can identify and resolve problems, but the process becomes time-consuming and costly
Solution Approach 1:
The system performs preliminary actions by proactively collecting and analyzing diagnostic data before failures occur. It continuously monitors storage device metrics, performs predictive analytics, and prepares diagnostic reports in advance, enabling support engineers to address issues before they impact reliability or require time-consuming manual intervention.
Solution Approach 2:
The system enables self-service by implementing automated diagnostic capabilities that independently identify, analyze, and report storage device issues without requiring manual engineer intervention. The automated system collects data, performs root cause analysis, generates diagnostic reports, and even suggests remediation actions, freeing engineers from routine diagnostic tasks.
2Reliability
If manual diagnostic processes are used for storage device issues, then support engineers can identify and resolve problems, but the process becomes costly
Solution Approach 1:
The system enables self-service by implementing automated diagnostic capabilities that independently identify, analyze, and report storage device issues without requiring manual engineer intervention. The automated system collects data, performs root cause analysis, generates diagnostic reports, and even suggests remediation actions, freeing engineers from routine diagnostic tasks.
Solution Approach 2:
The system introduces an intermediary automated diagnostic layer between the storage device and support engineers. This intermediary automatically collects device data, performs initial analysis, filters issues, and prepares comprehensive diagnostic reports, reducing the burden on engineers and lowering support costs while maintaining reliable problem resolution.
3Measurement precision
If comprehensive data analysis is performed on storage devices, then diagnostic accuracy is improved, but system complexity increases
Solution Approach 1:
The system applies segmentation by dividing the comprehensive diagnostic analysis into distinct modular components: data collection module, data processing module, analysis engine, report generation module, and recommendation engine. Each module handles specific diagnostic tasks independently, improving accuracy through specialized analysis while managing complexity through modular architecture.
Solution Approach 2:
The system introduces an intermediary automated diagnostic layer between the storage device and support engineers. This intermediary automatically collects device data, performs initial analysis, filters issues, and prepares comprehensive diagnostic reports, reducing the burden on engineers and lowering support costs while maintaining reliable problem resolution.
Data Source
AI summary
The invention pertains to a method and information handling system (IHS) for reducing storage device vulnerability to degraded performance, data unavailability or data loss. An embodiment of the method of the present invention begins by storing debug data associated with at least one storage device and obtaining diagnostic data for the at least one storage device. Next, an analysis is performed using the obtained data and the stored debug data. Then, one or more issues and one or more action plans for resolution may be identified. Finally, a report is provided to one or more users including the one or more identified issues and the one or more action plans.