Data Resource Health Maintenance Using Utilization and Risk Assessment
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Solution Overview
Problem
Current methods for maintaining the health of cluster hardware resources in big data scenarios are often manual, leading to high costs and inefficiencies.
Innovation Solution
A data resource health maintenance method and apparatus that assesses the health of data resources using indicators such as resource effective utilization degree and resource risk level, and performs governance based on these assessments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual health maintenance is performed on cluster hardware resources, then health assessment can be conducted, but costs are high and efficiency is low
Solution Approach 1:
The system implements automated self-assessment of data resource health by continuously monitoring utilization degrees and risk levels, calculating health scores without manual intervention, and automatically generating governance recommendations, thereby eliminating the need for costly manual health maintenance while improving efficiency
Solution Approach 2:
The system establishes a feedback mechanism that continuously collects data on resource effective utilization degree and resource risk level, processes this information through the health assessment model, and provides real-time health assessment results and governance recommendations, enabling continuous improvement of health management efficiency
2Measurement precision
If comprehensive health assessment indicators are used, then assessment accuracy is improved, but system complexity increases
Solution Approach 1:
The health assessment system is segmented into distinct modular components: resource effective utilization degree assessment module, resource risk level assessment module, health score calculation module, and governance recommendation module. Each module independently processes specific aspects of health assessment, making the complex system manageable and maintainable while achieving comprehensive assessment accuracy
Solution Approach 2:
The health assessment model serves multiple functions simultaneously: it assesses resource effective utilization degree, evaluates resource risk level, calculates overall health scores, and generates governance recommendations. This multi-functionality reduces the need for separate specialized systems, thereby managing complexity while maintaining comprehensive assessment accuracy
Data Source
AI summary
The present application discloses a data resource health maintenance method and apparatus, and a device. The data resource includes data computing resource and data storage resource. The method includes: obtaining a health assessment indicator for assessing health of the data resource, wherein the health assessment indicator includes a resource effective utilization degree and a resource risk level of the data resource in a use process; determining a weight corresponding to the resource effective utilization degree and a weight corresponding to the resource risk level; obtaining a health assessment result of the data resource based on the resource effective utilization degree, the resource risk level, the weight corresponding to the resource effective utilization degree, and the weight corresponding to the resource risk level; and obtaining a data resource use event related to the health assessment result, and performing data resource governance based on the data resource use event.