System Configuration Derivation for Recovery Time Verification
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Solution Overview
Problem
Existing automated design technologies struggle to efficiently derive a system configuration that simultaneously satisfies both functional requirements and recovery time objectives, particularly in ICT systems, due to inefficiencies in handling undetermined parts and the computational burden of reflecting Recovery Time Objectives (RTOs).
Innovation Solution
A system configuration derivation device and method that calculates recovery costs based on a recovery model, constructs a global state model, and verifies whether the model satisfies recovery time requirements, while gradually embodying an abstract configuration to ensure both functional and recovery time requirements are met, using a processor and memory to execute instructions for efficient derivation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing automated design technologies are used to derive system configuration, then functional requirements can be met, but recovery time objectives cannot be efficiently satisfied due to computational burden
Solution Approach 1:
The patent segments the system configuration derivation into two distinct phases: (1) generating candidate configurations that satisfy functional requirements, and (2) evaluating these candidates against recovery time objectives. This segmentation allows the complex problem to be broken down into manageable sub-tasks, reducing overall computational burden while ensuring both functional and recovery requirements are met.
Solution Approach 2:
The patent performs preliminary action by pre-calculating and storing recovery cost information for each system component in a database before the actual configuration derivation. This advance preparation of recovery cost data enables rapid evaluation of candidate configurations during the derivation process, significantly reducing computational time required to satisfy recovery time objectives.
2Reliability
If comprehensive verification of recovery time requirements is performed for all candidate configurations, then recovery time objectives are satisfied, but derivation efficiency decreases
Solution Approach 1:
The patent implements feedback mechanisms where recovery cost information is continuously evaluated and used to guide the configuration derivation process. The system provides feedback on which candidate configurations meet recovery time objectives, allowing the derivation process to focus on promising candidates and eliminate non-compliant ones early, thereby maintaining both verification rigor and derivation efficiency.
Solution Approach 2:
The patent replaces exhaustive mechanical verification of all candidate configurations with an intelligent evaluation system that uses pre-calculated recovery cost data and systematic filtering. This substitution of brute-force verification with smart evaluation based on stored recovery information dramatically improves derivation efficiency while maintaining comprehensive verification of recovery time requirements.
3Measurement precision
If detailed recovery models are constructed for all components, then accurate recovery cost calculation is achieved, but system complexity increases
Solution Approach 1:
The patent changes the parameter representation by using standardized recovery cost metrics for each component type rather than constructing detailed behavioral models. This parameter transformation allows accurate recovery cost calculation through simple lookups in a database, avoiding the complexity of detailed model construction while maintaining precision in recovery time assessment.
Solution Approach 2:
The patent uses copying by storing recovery cost information in a database that can be repeatedly referenced during configuration derivation. Instead of reconstructing detailed recovery models for each evaluation, the system copies and reuses pre-calculated recovery cost data, significantly reducing model construction complexity while maintaining calculation accuracy.
Data Source
AI summary
A system configuration derivation device calculates a recovery cost required for recovery of a structure derived from an expected configuration of an entity having as a type a constituent component model based on information on a recovery model and the expected configuration; constructs a global state model representing an operation model relating to failure recovery of the abstract configuration; verifies whether the global state model satisfies the recovery time requirement; and generates an abstract configuration that embodies the functional requirement using a mechanism for gradually embodying the abstract configuration as a possible system configuration candidate, and derives a system configuration that simultaneously satisfies the functional requirement and the recovery time requirement by eliminating the candidates that do not satisfy the recovery time requirement.