Storage Unit Priority Based on Configuration Analysis
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Solution Overview
Problem
Existing storage systems lack an efficient method to determine storage unit priority based on configuration information, leading to suboptimal data accessibility and recovery processes, as they often require separate administrative settings and additional user input for prioritization.
Innovation Solution
A processor analyzes configuration information to create a priority order for storage units, standardizing parameters and incorporating usage data to infer priority without explicit settings, allowing for dynamic prioritization and improved data accessibility during failures and system recovery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If storage systems use separate administrative settings for priority determination, then priority management can be explicitly controlled, but system complexity and user input requirements increase
Solution Approach 1:
The storage system automatically determines storage unit priority by analyzing configuration information and usage data without requiring explicit user input. The system self-services by inferring priority from existing parameters such as quality of service settings, export configurations, and operational metrics, thereby simplifying the user interface while maintaining comprehensive priority management capabilities
Solution Approach 2:
The patent makes existing configuration parameters serve multiple functions: they simultaneously define storage unit operational characteristics and encode priority information. By reusing quality of service parameters, export information, and usage metrics for both operational control and priority determination, the system eliminates the need for separate priority settings while maintaining explicit control capabilities
2Measurement precision
If storage systems require explicit priority settings, then priority control precision is improved, but user input burden increases
Solution Approach 1:
The system changes the interpretation and weighting of existing configuration parameters dynamically based on usage patterns and system state. By adjusting how quality of service parameters, export configurations, and performance metrics are weighted and combined, the system achieves precise priority determination without requiring users to set priority values explicitly
Solution Approach 2:
The system continuously monitors usage data and configuration information to refine priority determinations. By incorporating real-time feedback from operational metrics and configuration changes, the system maintains high precision in priority assessment while automatically adapting to changing conditions without additional user input
3Measurement precision
If storage systems prioritize based on multiple configuration parameters, then priority accuracy is improved, but processing complexity increases
Solution Approach 1:
The patent merges multiple configuration parameters and usage metrics into a unified priority assessment framework. By combining quality of service parameters, export information, host usage data, and performance metrics into a single priority determination process, the system achieves comprehensive and accurate priority assessment while presenting a simplified interface to users
Data Source
AI summary
Storage unit priority based on configuration information may be determined, for example, by a processor analyzing configuration information associated with the storage units to create a priority order associated with the storage units. The configuration information associated with each storage unit may be standardized for comparison to the configuration information associated with the other storage units. The processor may perform an action related to the storage units according to the priority order.