Storage Degradation Assessment and Priority Backup
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Solution Overview
Problem
Existing methods for managing and protecting data from sudden failures of storage devices, such as hard disks, often result in data loss or inability to boot the operating system, due to outdated backups, data restoration issues, and lack of timely notification of impending failures.
Innovation Solution
A system and method for timely diagnostics of storage devices to identify potential failures, prioritize and backup valuable data by assessing degradation and probability of failure, and provide options for data preservation, including automatic backup to alternative storage media.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If backup copying is performed using existing methods, then data restoration capability is provided, but the backup copy may be outdated or missing damaged files resulting in data loss
Solution Approach 1:
The system performs preliminary diagnostics to assess storage device degradation and predicts potential failures before they occur. When degradation exceeds thresholds, the system proactively identifies and backs up data at risk of being lost, ensuring backup copies are current and complete before damage occurs.
Solution Approach 2:
The system continuously monitors storage device health parameters and uses this feedback to dynamically adjust backup strategies. By analyzing degradation trends and predicting future failures, the system determines which files are at risk and prioritizes their backup, ensuring data protection adapts to actual device conditions.
2Reliability
If all data is preserved during backup, then complete data protection is achieved, but time and resources are wasted on low-priority data when failure is imminent
Solution Approach 1:
The system applies different backup priorities to different data based on their location and importance. Files in sectors adjacent to damaged or at-risk areas are identified and prioritized for immediate backup, while less critical data receives lower priority or deferred backup, optimizing resource allocation.
Solution Approach 2:
When storage device degradation indicates imminent failure, the system performs excessive action by prioritizing and immediately backing up only the most critical files that are at risk of loss, rather than attempting to backup all data equally. This ensures the most important data is protected within available time constraints.
3Measurement precision
If diagnostic monitoring is continuously performed, then timely failure prediction is achieved, but system complexity and resource consumption increase
Solution Approach 1:
The system leverages self-monitoring, analysis, and reporting technology (SMART) that is already built into modern storage devices. By utilizing these existing self-diagnostic capabilities and standard industry protocols, the system achieves accurate failure prediction without adding significant complexity or requiring proprietary monitoring hardware.
Data Source
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AI summary
Disclosed are systems and methods for preserving of data saved on a data storage device. An assessment is made as to the degradation of the data storage device, during which a determination is made of the rate of degradation and the probability of failure of the data storage device. When the probability is greater than a given threshold, the damaged sectors of the data storage device are identified by scanning of the surface of the data storage device. A worth grade (i.e., the value of the saved data to the user) is determined at least for data in sectors close to the damaged sectors on the basis of an analysis of at least the meta-data of the data. A decision is made as to the possible loss of data, and a backup copy is created based on the worth grade of the data and the rate of degradation of the data storage device.