Automated Information Handling System Deployment with Local Profile Storage
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Solution Overview
Problem
The deployment and configuration of information handling systems are complex and labor-intensive, especially when dealing with multiple systems that have varying hardware characteristics and different operating systems, leading to increased costs and complexity due to the need for extensive network storage and synchronization.
Innovation Solution
An automated method and system for deploying information handling systems, which involves receiving identifying information, automatically accessing a database to retrieve profile information, generating a customized user interface for inputting supplemental information, and deploying the system based on this information, thereby reducing complexity and management burdens.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If traditional network share deployment is used, then deployment capability is provided, but storage costs and network resource requirements increase significantly
Solution Approach 1:
The patent extracts the deployment content from network storage and places it in local storage on each information handling system. The deployment application and associated content are stored locally rather than being maintained on a network share, eliminating the need for centralized network storage resources while preserving deployment capability.
Solution Approach 2:
Each information handling system performs self-service deployment using its own local resources. The system automatically identifies itself, retrieves its own profile information from local storage, and executes deployment without requiring network share access or centralized deployment server resources.
2Adaptability or versatility
If manual deployment and configuration is performed, then customization for individual systems is achieved, but labor requirements and deployment time increase
Solution Approach 1:
Profile information including customization data is prepared in advance and stored in a database on each information handling system before deployment begins. The system pre-identifies itself and retrieves its profile information automatically, eliminating the need for manual configuration during deployment and reducing deployment time while maintaining customization capability.
Solution Approach 2:
The deployment application implements automatic system identification by reading identifying information from local sources and querying the database to match the system with its corresponding profile. This automated feedback loop ensures correct customization without manual intervention, reducing deployment time while preserving adaptability.
3Manufacturing precision
If comprehensive profile information is stored in database, then deployment accuracy is improved, but memory resources are consumed
Solution Approach 1:
Each information handling system maintains its own localized database with profile information relevant only to that specific system. Rather than storing comprehensive profiles for all possible systems in centralized memory, each system stores only the deployment content and profile data it needs locally, reducing overall memory resource consumption while maintaining deployment accuracy through precise local matching.
Data Source
AI summary
A system and method for automated deployment of an information handling system are disclosed. A method for managing the deployment of an information handling system may include executing a deployment application on an information handling system, the deployment application including one or more tasks associated with the deployment of the information handling system. The method may further include automatically determining for a particular task whether an execution time for the particular task is within a predetermined range of execution times. The method may further include automatically performing an error-handling task in response to determining that the execution time for the particular task is not within the predetermined range of execution times.