Data Processing Apparatus for Intent-Based Resource Control
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Solution Overview
Problem
The manual intervention technique for resource control based on user intent is costly and prone to human error, with a risk of unnoticed resource or parameter leaks and inadequate response to changes in the service provision environment.
Innovation Solution
A data processing apparatus and method that automatically extracts candidates for resources and parameters from service provision files and allows designation of these resources and parameters for intent-based control, reducing human intervention and improving responsiveness to environmental changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual intervention technique is used to grasp adjustable resources and parameters through inquiry to developers or administrators, then resource control based on user intent can be achieved, but large human cost is generated and the process is time-consuming
Solution Approach 1:
The system performs self-service by automatically extracting resource and parameter information from service provision environment configurations, eliminating the need for manual inquiry to developers or administrators. The extraction unit autonomously identifies adjustable resources and parameters by analyzing configuration files and environment settings, thereby reducing human cost and time consumption while maintaining accuracy.
Solution Approach 2:
The manual mechanical process of inquiring to human developers or administrators is replaced with an automated information processing system. The extraction unit uses computational methods to parse configuration files, detect environment changes, and identify resources and parameters, substituting human manual work with automated mechanical/electronic information processing.
2Reliability
If manual intervention technique is used to identify resources and parameters, then resource control can be performed, but there is a risk of unnoticed resource or parameter leaks
Solution Approach 1:
The system autonomously monitors and extracts all adjustable resources and parameters from the service provision environment without human intervention. By continuously analyzing configuration files and environment settings, the system ensures complete identification of resources and parameters, preventing any leaks or omissions that would occur with manual inquiry methods.
Solution Approach 2:
The system implements continuous feedback by monitoring changes in the service provision environment and automatically updating the extracted resource and parameter information. This closed-loop approach ensures that any new or changed resources are detected and included in the control process, preventing resource leaks through ongoing verification and updates.
3Reliability
If manual intervention technique is used for resource control, then initial resource identification can be achieved, but there is a problem in responding to changes in controllable resource or parameter due to environment changes
Solution Approach 1:
The system transitions from static manual identification to dynamic automated extraction that continuously adapts to environment changes. The extraction unit dynamically monitors the service provision environment, detects changes in configurations or specifications, and automatically updates the identified resources and parameters, ensuring the system remains adaptable to evolving conditions without requiring manual re-inquiry.
Solution Approach 2:
The system performs preliminary extraction of resources and parameters from configuration files and environment settings before control operations begin. By pre-identifying all adjustable elements and setting up automated monitoring, the system is prepared to respond to environment changes without delay, eliminating the response time issues inherent in manual intervention approaches.
Data Source
AI summary
According to one embodiment, a data processing apparatus includes an extraction unit that extracts a candidate for a resource used to provide a service and a candidate for a parameter used to control the resource, from a file in which a content of provision of the service is described, and a designation unit that receives a designation of a resource and a parameter to be used to provide the service among resources and parameters extracted by the extraction unit.