Abnormality Handling Determination Program for Storage Systems
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Solution Overview
Problem
Existing storage system technologies often perform inappropriate handling of disk devices based on detected trouble signs, leading to frequent device replacements and increased costs due to mismatched handling with the actual device state.
Innovation Solution
A non-transitory computer-readable storage medium storing an abnormality handling determination program that acquires state information from multiple devices, judges whether the state of a first device deviates from the distribution range of other devices, and determines appropriate handling based on this judgment, rather than relying on pre-defined trouble signs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If specific handling is performed based on detected trouble signs, then data reliability is improved, but device replacement frequency increases and costs increase
Solution Approach 1:
The invention changes the parameter for determining device abnormalities from fixed trouble signs to dynamic statistical parameters. By calculating distribution ranges of state information from multiple devices and comparing individual device states against these distributions, the system dynamically adjusts the threshold for identifying abnormalities, thereby reducing false positives and unnecessary replacements while maintaining data reliability.
Solution Approach 2:
The invention implements a feedback mechanism where state information from multiple devices is continuously collected and used to update distribution ranges. These updated distributions then serve as the basis for determining subsequent abnormality handling, creating a closed-loop system that adapts to actual device states and reduces inappropriate handling decisions.
2Reliability
If specific handling is performed based on detected trouble signs, then data reliability is improved, but handling accuracy deteriorates
Solution Approach 1:
The invention transforms the measurement approach from binary trouble sign detection to continuous statistical evaluation. By using distribution ranges calculated from state information of multiple devices, the system achieves more precise measurement of actual device states, enabling accurate differentiation between normal variations and true abnormalities.
Solution Approach 2:
The invention creates a universal determination method that can be applied across different device types and states. The statistical distribution approach provides a multi-functional framework that handles various abnormality scenarios (early-stage failures, intermittent issues, normal variations) through a single coherent methodology, improving overall handling accuracy.
Data Source
AI summary
A non-transitory computer readable storage medium storing therein an abnormality handling determination program that causes a computer to execute a process, the process includes, acquiring state information of appointed items regarding to a state of each of a plurality of devices in a system depending on a detection of abnormal information of a first device among the plurality of devices, judging whether the state information of the first device deviates from the distribution range of the state information calculated by the state information of the devices except the first device for every item, and determining a handling for the first device based on a result of the judgment.