Unified Asset Knowledge Graph for Cloud-Based Tool Deployment
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Solution Overview
Problem
In cloud-based computing systems, users face challenges in identifying and deploying the most relevant cloud-based assets efficiently, as the vast pool of available assets makes it difficult to determine which assets are appropriate for specific applications.
Innovation Solution
A computer system and method that generate a unified asset knowledge graph and ontology, enabling users to search for cloud-based assets through a user interface. The system includes a backend application that processes search queries, identifies relevant assets, and deploys them to the user's cloud-based computing environment, along with necessary additional assets and initial configuration parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If a cloud-based computing system provides a large pool of assets, then resource availability is improved, but it becomes difficult for users to identify relevant assets for specific applications
Solution Approach 1:
The patent introduces an intermediary system comprising a backend application and frontend application that mediates between the large pool of cloud-based assets and users. The backend application searches the asset pool using search queries and criteria, while the frontend application presents results to users through a user interface, making the vast asset pool manageable and searchable without requiring users to directly navigate through all assets
Solution Approach 2:
The patent segments the cloud-based asset pool into manageable components by implementing a structured search system. The backend application divides the search process into distinct steps: receiving search criteria, querying the asset database, filtering results, and returning relevant assets. This segmentation transforms the overwhelming task of browsing all assets into a systematic, step-by-step search process
2Manufacturing precision
If the system provides comprehensive asset information and deployment capabilities, then asset deployment accuracy is improved, but system complexity increases
Solution Approach 1:
The patent merges multiple functions into a unified deployment system. The backend application combines asset search, dependency identification, configuration parameter retrieval, and deployment execution into a single integrated process. The frontend application combines search interface, results display, and deployment control into one user interface, reducing the need for multiple separate tools while maintaining comprehensive functionality
Solution Approach 2:
The patent implements self-service capabilities where the system automatically identifies additional assets needed for deployment, retrieves configuration parameters, and executes deployment without requiring manual intervention for each step. The backend application autonomously queries the asset database, determines dependencies, and configures deployment parameters, reducing system complexity from the user's perspective while maintaining high deployment accuracy
Data Source
AI summary
A computer system including at least one server executing a backend application and communicatively coupled with a client device executing a frontend application is disclosed. The backend application is configured to receive a search criterion using a first input control, and a search query term using a second input control. Based on the type of search criterion and using the search query term, the backend application is configured to identify a set of cloud-based tools from a plurality of cloud-based tools stored in a database, where at least some of the cloud-based tools are deployable to a user cloud-based computing environment and need additional assets to deploy a cloud-based tool to the user cloud-based computing environment. The backend application is configured to build and deploy, to the user cloud-based computing environment, a user-selected cloud-based tool and the additional assets identified for the user-selected cloud-based tool using initial configuration parameters.