Database Service Resource Allocation Automation
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Solution Overview
Problem
Current database service resource allocation methods rely heavily on inherent resource characteristics and manual intervention, leading to inefficient resource utilization and a high likelihood of errors due to the complexity and skill requirements of manual resource allocation processes.
Innovation Solution
A database service processing method and apparatus that acquire a target database service model, package executable units according to the model's minimum granularity, and generate a configuration file to automate resource allocation based on workflow requirements, reducing manual intervention and improving resource utilization efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If manual resource allocation methods are used for database services, then resource allocation can be performed with existing tools, but resource utilization efficiency is low and error rate is high due to complexity and skill requirements
Solution Approach 1:
The system enables automatic resource allocation through self-service mechanisms where the database service automatically acquires system resources and configures service parameters based on pre-defined models and workflows, eliminating the need for manual intervention and operator expertise while improving resource utilization efficiency
Solution Approach 2:
The patent implements preliminary action by pre-defining database service models that include resource allocation rules, executable units, and workflow configurations before actual resource allocation occurs. This preparation enables automated execution without manual intervention during the actual allocation process
2Productivity
If automated resource allocation is implemented, then resource utilization efficiency improves and errors are reduced, but system complexity increases due to model and workflow configuration requirements
Solution Approach 1:
The patent segments the resource allocation system into distinct modular components: database service models, executable units, workflow configurations, and resource allocation engines. This segmentation reduces system complexity by allowing each component to be independently developed, configured, and maintained while working together to achieve automated resource allocation
Solution Approach 2:
The patent introduces intermediary elements such as the database service model and executable units that act as mediators between the automation engine and actual resource allocation operations. These intermediaries simplify the automation process by providing structured interfaces and pre-defined logic, reducing the complexity of implementing full automation
3Adaptability or versatility
If manual resource allocation processes are used, then existing tools can be leveraged, but the process requires high skill levels and is prone to errors
Solution Approach 1:
The patent implements feedback mechanisms where the system monitors resource allocation execution, compares actual outcomes with expected results defined in the database service model, and automatically adjusts or re-executes allocation operations. This feedback loop reduces errors by detecting and correcting deviations from the intended allocation process
Data Source
AI summary
The present disclosure discloses a database service processing method and apparatus. The method comprises: acquiring a target database service model corresponding to a target database service; acquiring at least one executable unit according to the target database service model, the at least one executable unit is packaged, according to a minimum granularity of the target database service, with a target database service model operation; and acquiring a target database service configuration file according to service requirements of the target database service, the target database service configuration file is arranged based on the at least one executable unit and meets workflow arrangement requirements.