Rules-Based Decision Tree for Computer System Architecture
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Solution Overview
Problem
In large enterprises, developing and maintaining software and computer systems is complex due to varied applications and systems, leading to inconsistent and inefficient system architectures, as knowledge sharing and design decisions are often based on limited understanding and past experiences.
Innovation Solution
A method and system utilizing a rules-based decision tree for reference architecture modeling, where applications are categorized by criticality level to select appropriate computer systems and configurations, integrating business impact assessments and engineering standards to define optimal architectures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If varied applications and systems are deployed in large enterprises, then application functionality and versatility are improved, but system architecture consistency and complexity management deteriorate
Solution Approach 1:
The patent applies parameter changes by introducing criticality level parameters to classify applications and systematically varying system architecture parameters based on these classifications. This allows the system to adapt its complexity and configuration parameters according to the criticality level, maintaining consistency while supporting diverse application functionalities.
Solution Approach 2:
The patent segments the enterprise system architecture into distinct criticality levels (e.g., Level 1 for mission-critical, Level 2 for business-critical, etc.). This segmentation allows different architecture standards and configurations to be applied to different segments, managing overall system complexity while maintaining consistency within each segment.
2Productivity
If ad-hoc design decisions are made based on limited understanding and past experiences, then implementation speed is improved, but architecture consistency and reliability deteriorate
Solution Approach 1:
The patent implements preliminary action by establishing comprehensive architecture decision guides and criticality level classifications before actual system deployment. These pre-defined frameworks enable consistent architecture decisions to be made rapidly without ad-hoc analysis, improving both reliability and implementation speed.
Solution Approach 2:
The patent introduces architecture decision guides as intermediary artifacts that mediate between business requirements and technical implementations. These guides translate criticality levels into specific architecture standards and configurations, ensuring consistent and reliable decisions while maintaining implementation efficiency.
3Reliability
If application criticality levels are systematically classified and reference architectures are applied, then architecture consistency and reliability are improved, but analysis time and processing complexity increase
Solution Approach 1:
The patent applies preliminary action by pre-classifying applications into criticality levels and pre-defining reference architectures for each level. This eliminates the need for time-consuming analysis during deployment, as the criticality level and corresponding architecture can be determined quickly using the pre-established frameworks.
Solution Approach 2:
The patent uses copying by creating standardized reference architecture templates for each criticality level. These templates can be copied and applied repeatedly to similar applications, significantly reducing analysis time while maintaining architecture consistency and reliability.
Data Source
AI summary
A method of determining a computer system is provided. The method comprises categorizing the criticality level of each application based on a business impact assessment. The method includes identifying computer system configurations for an application based on a decision tree and on the criticality level of the application. The method also includes providing a computer system selected based on the computer system configurations.