Interoperability Analysis for Converged Infrastructure Components
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Solution Overview
Problem
In converged infrastructure systems, identifying interoperability status between discrete components is challenging due to the complexity of analyzing hardware and software compatibility, especially in large systems with constantly changing configurations, leading to time-consuming and inefficient manual interoperability analyses.
Innovation Solution
A modular approach is introduced, comprising a request controller, an interoperability service module with components like a cache synchronizer, CoG model builder, CoG evaluator, and evaluation response builder, which automates the interoperability analysis by caching data, generating CoG models, and evaluating component relationships to determine interoperability status efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual interoperability analysis is performed in converged infrastructure systems, then analysis accuracy can be maintained, but the process becomes time-consuming and inefficient
Solution Approach 1:
The patent creates virtual copies of physical components (virtual device identifiers, virtual infrastructure components) that can be analyzed in a simulated environment. This allows automated analysis of interoperability relationships without manually testing physical connections, maintaining accuracy while reducing time consumption through virtual modeling and simulation.
Solution Approach 2:
The patent introduces an interoperability analysis system as an intermediary that automatically collects component information, builds relationship models, and evaluates compatibility. This intermediary layer handles the complex analysis work automatically, eliminating manual effort while preserving analysis thoroughness through structured data collection and evaluation protocols.
2Measurement precision
If comprehensive component compatibility analysis is performed, then interoperability status accuracy improves, but system complexity increases
Solution Approach 1:
The patent segments the interoperability analysis into distinct modules: component information collection, virtual model building, relationship analysis, and compatibility evaluation. Each module handles a specific aspect of the analysis, making the overall complex process manageable through division of labor while maintaining comprehensive coverage of all compatibility factors.
Solution Approach 2:
The patent creates virtual representations of components and their relationships, allowing complex interoperability analysis to be performed on simplified virtual models rather than dealing directly with the full complexity of physical system interactions. This virtual modeling approach maintains analysis accuracy while reducing the operational complexity of the analysis system.
3Productivity
If automated interoperability analysis is implemented, then analysis efficiency improves, but implementation complexity increases
Solution Approach 1:
The patent implements a universal interoperability analysis framework that can handle multiple component types, communication protocols, and compatibility scenarios through a single automated system. This multi-functional approach achieves high analysis efficiency across diverse situations while managing implementation complexity through standardized processes and unified data structures that work across different contexts.
Data Source
AI summary
Described herein are systems and methods for identifying the interoperability status between discrete components within a converged infrastructure system. One or more analyses of multiple datasets related to components or objects within the system are implemented, using the relationships that have been defined for the components, with the goal of determining the interoperability status of those components. The interoperability evaluation system comprises a request controller and an interoperability service module. The request controller receives a request of interoperability analysis from a user interface for a specified system configuration. The interoperability service module implements an interoperability analysis, with interactions with an element database and a customer profile database via an element DB API and an inventory common API respectively. Upon completion of the analysis, interop evaluation result is sent back to the user interface.