Data Protection Module Metadata Analysis for Resource Optimization
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Solution Overview
Problem
Current data protection systems face challenges in efficiently extracting useful insights from complex and distributed metadata, leading to resource-intensive efforts and difficulties in managing user deployment, environment, workload, and scaling/sizing related issues.
Innovation Solution
The system automates the process of extracting insights from metadata to determine resource- or configuration-related changes in a data protection module, generating recommendations for managing these changes, and proactively addressing potential issues through a graphical user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If administrators manually refine and analyze metadata to extract insights, then measurement precision of data protection module status is improved, but loss of time and resource intensity increase
Solution Approach 1:
The data protection module performs self-diagnosis by automatically analyzing its own metadata to determine status, resource requirements, and configuration needs. The system generates and sends recommendations to administrators without requiring manual inspection of complex metadata structures, enabling the system to serve its own monitoring and optimization needs.
Solution Approach 2:
The patent replaces manual administrative processes with automated computational analysis. Instead of administrators manually parsing metadata, the system uses processing logic to automatically extract insights, determine status conditions, and generate recommendations, substituting human cognitive processing with automated computational mechanisms.
2Productivity
If the system automatically determines resource changes based on metadata, then productivity of data protection management is improved, but device complexity increases
Solution Approach 1:
The patent divides the data protection module into functional components including status determination logic, resource requirement analysis modules, and recommendation generation mechanisms. Each component handles specific aspects of metadata analysis independently, making the overall complex system manageable through modular functional segmentation.
Solution Approach 2:
The system introduces an intermediary processing layer that automatically translates complex metadata into actionable recommendations. This intermediary layer absorbs the complexity of metadata parsing and transformation, presenting simplified status information and clear actionable recommendations to administrators, thereby hiding the underlying complexity from users.
3Measurement precision
If detailed metadata is collected and analyzed, then measurement precision of system status is improved, but use of energy and computational resources increase
Solution Approach 1:
The patent extracts only the essential information needed for status determination from the broader metadata structure. By identifying and analyzing only the critical metadata fields related to system status, resource requirements, and configuration state, the system achieves accurate monitoring while minimizing the computational resources required to process irrelevant metadata details.
Data Source
AI summary
A method for managing a data protection module (DPM) includes: obtaining metadata associated with the DPM; analyzing the metadata to extract relevant data; making, based on the relevant data, a first determination that a resource-related change has occurred in the DPM; making, based on the first determination, a second determination that the resource-related change is an increased resource-related change; sending, based on the second determination, the relevant data to a vendor environment (VE) analyzer; in response to sending the relevant data, receiving a recommendation from the VE analyzer; sending the recommendation to a user of a client about the recommendation using a graphical user interface (GUI) of the client; making, after sending the recommendation to the user, a third determination that the DPM is not reconfigured by the user based on the recommendation; and resending, based on the third determination, the recommendation to the user using the GUI.