Autonomic Policy Creation Support System for Resource Management
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Solution Overview
Problem
The creation of effective autonomic control policies for monitoring target systems is costly and requires extensive experience and know-how, particularly for larger and more complex systems, as existing technologies rely heavily on system operators to analyze and configure resources to meet performance requirements.
Innovation Solution
A policy creation support system that measures performance for each resource amount, selects a representative measurement value, and outputs the monitoring item, resource amount, and measurement value range, facilitating the creation of autonomic control policies that can be used to control monitoring target systems and satisfy contract conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If system operators manually analyze and configure resources to meet performance requirements, then effective autonomic control policies can be created, but the cost and complexity of policy creation increases significantly
Solution Approach 1:
The system automatically performs performance analysis and generates autonomic control policies without requiring manual intervention from system operators. The performance analysis unit automatically measures performance parameters, and the policy generation unit automatically creates policies based on the analyzed data, enabling the system to serve itself rather than requiring human expertise for each policy creation.
Solution Approach 2:
The patent replaces the manual mechanical process of performance analysis and policy configuration with automated computational processes. The performance analysis unit uses automated measurement and data processing, while the policy generation unit uses algorithmic rule-based generation, substituting human cognitive and manual operations with machine-based automation.
2Adaptability or versatility
If system operators manually create autonomic control policies, then policies can be tailored to specific system needs, but the time required for policy creation increases
Solution Approach 1:
The system performs preliminary performance analysis and data collection automatically before policy generation is needed. The performance analysis unit continuously or periodically measures performance parameters and stores the data, so that when policy generation is required, the necessary information is already prepared and can be immediately processed into policies without time-consuming manual data gathering.
Solution Approach 2:
The policy generation unit automatically adjusts policy parameters based on the analyzed performance data and system configuration. By changing parameters such as threshold values, resource allocation ratios, and control rules according to the measured performance metrics, the system adapts policies to specific needs automatically without manual configuration time.
3Measurement precision
If detailed performance analysis is conducted for each resource amount, then accurate policy creation is achieved, but the measurement and processing workload increases
Solution Approach 1:
The performance analysis unit segments the performance measurement process into distinct components: identifying performance parameters, measuring each parameter separately, analyzing the relationship between resource amounts and performance metrics, and generating policies based on the segmented analysis. This segmentation allows accurate measurement of individual parameters while managing the overall complexity and volume of data through structured processing.
Data Source
AI summary
A policy creation support system is provided, which is capable of reducing cost for creation of an effective autonomic control policy. The policy creation support system measures information indicating performance of a monitoring target system, with regard to a monitoring item of a designated type, for each resource amount of an expandable resource, and selects one representative measurement value from among measurement values on a resource-amount basis. Then, the policy creation support system outputs the monitoring item, the resource amount serving as the monitoring item, and a range of the measurement value corresponding to the resource amount, as a countermeasure decision condition within a policy, by setting a range including the selected representative measurement value as the range of the measurement value.