Gold Image Library Management for Automated Network Asset Updates
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current data protection systems inefficiently manage and update large-scale network assets, leading to redundant storage and processing resources due to the repeated backup of static Gold image data, which is not differentiated from dynamic user content data.
Innovation Solution
Implementing a Gold image library management system that uses a common data protection target to store and update Gold image data separately from user content data, allowing for deduplication and automatic asset updates without user interaction, thereby reducing storage footprint and enhancing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If Gold image data is backed up along with user content data simultaneously and at regular intervals, then data protection coverage is comprehensive, but storage resources are wasted due to repeated backup of static Gold image data
Solution Approach 1:
The system segments backup data into two distinct categories: Gold image data (static structural data) and user content data (dynamic data). By separating these data types and applying different backup strategies to each, the system protects all necessary data while avoiding redundant backup of static Gold images, thus reducing storage resource consumption while maintaining comprehensive data protection coverage.
2Reliability
If Gold image data is backed up repeatedly at regular intervals, then data protection is thorough, but processing resources are wasted due to redundancy
Solution Approach 1:
The system divides backup processing into separate pathways for Gold image data and user content data. Gold image data is backed up only when changes are detected, while user content data follows regular backup intervals. This segmentation eliminates redundant processing of static data while maintaining thorough protection, thereby reducing processing resource consumption.
3Extent of automation
If automatic upgrading is implemented, then user interaction is minimized, but control over version testing and deployment is reduced
Solution Approach 1:
The system implements a dynamic upgrade mechanism that adapts to user needs. It provides automated upgrade capabilities that can operate with minimal user interaction, while simultaneously maintaining the flexibility to pause, test, and control upgrade processes. Users can configure the system to automatically deploy upgrades after validation or to require manual approval, thus achieving both high automation and version control flexibility.
Data Source
AI summary
Automatically updating operating system and application programs in a large-scale network using Gold image data. An asset update process receives validation by a user for use of an updated program comprising new Gold image data. The process automatically updates the previous version of the updated version with the updated program to generate new user content data, without requiring further user intervention by using a defined tag linking the new Gold image data with previous Gold image data for the older version of the program. The Gold image data is stored in a central data protection target storage separate from data protection target storage for the user content data.