Resource Model Templates for Capacity Planning
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Solution Overview
Problem
Current capacity planning methods for computing systems require significant investment in skilled labor and capital for customized performance models, which are not easily adaptable, and trending techniques limit the range of hypothetical scenarios they can support.
Innovation Solution
Operational resource modeling creates and trains resource models using historical data to simulate various scenarios, allowing for customizable resource model templates that automatically configure relationships between system components, enabling effective capacity planning across a wide range of hypothetical scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If customized performance models are developed using transaction modeling techniques, then manufacturing precision of performance analysis is improved, but device complexity and loss of time increase due to significant investment in skilled labor and capital expenditure
Solution Approach 1:
The patent creates standardized performance model templates that can be copied and reused across different applications. Instead of developing custom models from scratch for each application, the system provides pre-built templates that capture common performance patterns, thereby reducing the complexity and labor investment required while maintaining analysis accuracy
Solution Approach 2:
The patent segments performance modeling into reusable template components that can be independently developed and combined. By breaking down complex performance models into standardized modules, the system reduces overall model development complexity while preserving the precision needed for accurate performance analysis
2Manufacturing precision
If customized performance models are developed using transaction modeling techniques, then manufacturing precision of performance analysis is improved, but loss of time increases due to significant investment in skilled labor
Solution Approach 1:
The patent performs preliminary actions by pre-building standardized performance model templates that encapsulate common performance patterns. These templates are prepared in advance and can be quickly deployed to new applications, eliminating the need to develop models from scratch and significantly reducing the time and skilled labor required while maintaining analysis precision
3Device complexity
If trending of historical data is used for capacity planning, then device complexity is reduced, but adaptability worsens due to limited range of hypothetical scenarios supported
Solution Approach 1:
The patent introduces dynamic performance model templates that can adapt to different hypothetical scenarios while maintaining relative simplicity. The templates are designed to be configurable and flexible, allowing them to simulate various future conditions and scenarios without requiring complex custom model development for each scenario, thus achieving both simplicity and adaptability
Data Source
AI summary
Operational resource modeling is usable to analyze application and computer system performance over a wide range of hypothetical scenarios. Operational resource modeling involves creating and training one or more resource models, and/or simulating hypothetical scenarios using resource models.