Data Storage System Status Update via Merge Logic
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional methods for updating system status in data storage systems are inefficient, leading to performance issues and scalability problems due to the need to rebuild entire new subsystems after each poll, even when only a few objects have changed, which consumes resources and renders management systems unusable as the number of objects increases.
Innovation Solution
A method that updates system status by applying merge logic to create new software objects only for changed components, reusing existing update mechanisms to maintain array status efficiently and scalably, thus reducing resource consumption and improving performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional methods rebuild entire new subsystems after each poll, then system status is updated completely, but resource consumption increases and scalability deteriorates
Solution Approach 1:
The patent segments the subsystem update process by identifying and updating only the specific software objects that have changed (newly inserted, modified, or deleted objects) rather than rebuilding the entire subsystem. This is achieved through comparing object identifiers and paths between the old and new full models, isolating changed components for targeted updates.
Solution Approach 2:
The patent applies partial action by performing only the necessary update operations on changed software objects rather than executing a complete subsystem rebuild. The merge logic selectively applies updates based on change detection, performing minimal necessary actions to maintain system status accuracy while conserving resources.
2Reliability
If conventional methods rebuild entire new subsystems after each poll, then system status is maintained, but the management system becomes unusable as the number of objects increases
Solution Approach 1:
The patent divides the large-scale subsystem update task into smaller, manageable segments by processing only changed software objects. This segmentation approach prevents the management system from being overwhelmed by the complexity of rebuilding entire subsystems, enabling scalable operation even with large numbers of objects.
Solution Approach 2:
By performing partial updates only on changed objects rather than complete subsystem rebuilds, the patent reduces the operational complexity and computational burden on the management system. This partial action approach maintains system status reliability while preventing the system from becoming unusable as object counts increase.
3Productivity
If merge logic updates only changed components, then resource consumption is reduced, but the update mechanism becomes more complex
Solution Approach 1:
The patent prepares for efficient selective updates by pre-establishing the full model structure and object identifier system before updates occur. This preliminary setup enables the merge logic to quickly identify changed components through comparison without requiring complex real-time analysis during the update process itself.
Solution Approach 2:
The patent uses copying of the full model structure as a template for updates. By maintaining a complete reference model and comparing against it, the system can identify changes and apply updates to specific copied objects without reconstructing the entire system, simplifying the update mechanism while improving resource efficiency.
4Stability of the object's composition
If entire subsystems are rebuilt, then consistency is ensured, but performance deteriorates due to resource consumption
Solution Approach 1:
The patent segments the consistency verification process to apply only to changed software objects rather than the entire subsystem. This targeted approach maintains system consistency where changes occur while avoiding the performance penalty of verifying unchanged components, thus improving update performance while preserving consistency.
Solution Approach 2:
The patent applies partial verification and update actions only to changed objects, performing the minimum necessary operations to maintain consistency. This partial action approach ensures system consistency is preserved in affected areas while avoiding the performance deterioration associated with complete subsystem rebuilds.
Data Source
AI summary
A method is used in updating system status. Updated information is received for a managed object in a data storage system. From the updated information and an existing software object having other information about the managed object, a new software object is derived representing the managed object. Merge logic is applied to update the existing software object based on the new software object. The merge logic being capable of updating an existing full model of the data storage system from a new full model of the data storage system.