Automated System Configuration Evaluation Using Facet Models

The patent applies preliminary action by pre-defining facet models that represent performance and operational characteristics before the actual configuration derivation process. These facet models (including processing flow models, task flow models, and security models) are prepared in advance so that when configuration proposals are generated, their performance and operational feasibility can be evaluated immediately without requiring separate real-world testing, thus resolving the contradiction between efficient derivation and reliable evaluation

The patent introduces facet models as intermediary representations that mediate between configuration proposals and performance evaluation. Instead of directly testing configurations in real environments, the facet models serve as intermediate artifacts that capture essential performance and operational characteristics, enabling realistic evaluation during the design phase while maintaining derivation efficiency

The patent applies segmentation by dividing the comprehensive evaluation into distinct facet models: processing flow facet models for performance evaluation, task flow facet models for operational feasibility, and security facet models for security assessment. Each facet model focuses on specific aspects of system behavior, allowing accurate multi-dimensional evaluation while keeping each individual model manageable and avoiding overwhelming complexity

The patent uses parameter changes by representing system characteristics through configurable parameters within facet models rather than fixed complex structures. The facet models accept configuration parameters and generate evaluation results dynamically, allowing the same model framework to evaluate different configuration proposals by simply changing input parameters, thus maintaining accuracy while reducing structural complexity