Dynamic Performance Data Objects in Storage Systems
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Solution Overview
Problem
Conventional methods for handling performance data in data storage systems lead to resource inefficiencies, as performance objects are cached indefinitely and all clients must process full managed objects to access performance data, even if only some clients need it.
Innovation Solution
Creating a software object to represent managed objects on demand, allowing performance data to be updated frequently and accessed independently, thus freeing up resources when the data is no longer needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If performance data is cached indefinitely in conventional methods, then data availability is maintained, but system resources are wasted
Solution Approach 1:
The patent implements dynamic creation and destruction of software objects based on real-time demand. Performance software objects are created when performance data is requested and destroyed after a predetermined time period or when no longer needed, transforming the static caching approach into a dynamic resource management system that adapts to actual usage patterns
Solution Approach 2:
The patent employs short-lived software objects that exist only temporarily to serve performance data requests. Instead of maintaining permanent cached objects, the system creates lightweight objects on-demand that are automatically destroyed after use, reducing resource consumption while maintaining data availability
2Ease of operation
If all clients process full managed objects to access performance data, then data access is simplified, but processing efficiency decreases
Solution Approach 1:
The patent extracts performance data from the full managed object structure by creating separate, dedicated software objects that contain only performance-related information. This allows clients to access performance data without processing unnecessary managed object properties, improving processing efficiency while maintaining ease of access
Solution Approach 2:
The patent segments performance data into independent software objects that are separate from the main managed objects. This segmentation allows clients to request and process only the performance data they need, rather than handling complete managed objects, thereby improving processing efficiency
3Speed
If performance objects are cached for the lifetime of the management session, then data access speed is improved, but memory consumption increases
Solution Approach 1:
The patent implements periodic creation and destruction of performance software objects rather than continuous caching. Objects are created when needed, remain active for a predetermined time period or until requested again, and are then destroyed, creating a rhythmic pattern of resource allocation that balances access speed with memory consumption
Solution Approach 2:
The patent transforms the static memory allocation model into a dynamic one where software objects are allocated and deallocated based on actual access patterns. This dynamic approach allows the system to maintain fast access speeds for active objects while freeing memory for objects that are no longer needed
Data Source
AI summary
A method is used in handling managed object data. A software object is created which represents a managed object in a data storage system. The software object holds performance data for the managed object. The software object is created in response to a request for the performance data. Based on a determination that the performance data held by the software object is out of date, the software object is destroyed.