Adaptive SBB Architecture Update Method
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Solution Overview
Problem
Existing technologies do not provide adaptive functionality for automatic updates of individual components within solution building block (SBB) architectures when changes occur, requiring manual intervention and inefficient integration processes.
Innovation Solution
A method for automatically updating SBB architectures by capturing metadata changes and generating new or updated building block architectures, which includes substituting or replacing components, and notifying administrators for manual changes, using a solution building block monitoring system (SBBMS) to manage dependencies and lifecycle management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual updates are performed for each component change in SBB architectures, then control and precision over changes are maintained, but time consumption and operational complexity increase significantly
Solution Approach 1:
The system performs automatic updates of SBB architectures by detecting component changes and propagating them through dependency relationships without requiring manual intervention. The monitoring system continuously tracks component metadata and automatically triggers updates to dependent components, enabling the system to service itself and eliminating time-consuming manual update processes.
Solution Approach 2:
The system implements a feedback mechanism where component changes are detected and automatically propagated to dependent components through metadata relationships. The monitoring system continuously observes component states and triggers cascading updates based on detected changes, creating a closed-loop system that maintains architecture consistency automatically.
2Productivity
If automatic update systems are implemented for SBB components, then update speed and productivity improve, but system complexity and detection difficulty increase
Solution Approach 1:
The system pre-establishes metadata relationships and dependency mappings between SBB components before runtime. By preparing the dependency graph and component relationships in advance, the system enables rapid automatic updates when changes occur, as the propagation paths are already known and configured, reducing the complexity of real-time decision-making.
3Reliability
If comprehensive metadata tracking is implemented across all SBB components, then update accuracy and reliability improve, but information processing overhead and system complexity increase
Solution Approach 1:
The system extracts and isolates only the critical metadata elements required for update propagation, such as component dependencies and relationship types, from the full component information. By focusing on essential metadata rather than tracking all component attributes, the system maintains update reliability while minimizing information overhead and processing complexity.
Data Source
AI summary
Provided is a method for the adaptive updating of building block architectures and designs in the event of a change to a component of the building block architecture. When a specific component of the architecture, or SBB, is replaced or modified, the metadata associated with the new or modified component is placed in a building block repository. The system captures or recognizes the event and automatically makes updates to dependent components of the specific component. Such updates may include, but are not limited to, a substitution or replacement of one component with another, generally if the replacement component is a better fit in the solution architecture than the original component. A new or updated system architecture is generated to reflect the replaced and/or modified components and the associated metadata. In the alternative, the system notifies an administrator to make specific changes in components rather than implementing the changes automatically.