On-demand Image Layer Retrieval via Dependency Resolution
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Solution Overview
Problem
Existing container deployment technologies face challenges in efficiently retrieving specific image layers on demand, leading to increased system overhead and risk, especially in large-scale and frequently updated projects.
Innovation Solution
The proposed solution involves assigning an identifier that specifies resources and categories associated with image layers, allowing for the identification and retrieval of matched layers based on dependencies and functionalities, even without direct file or layer dependencies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all image layers are downloaded in traditional container deployment, then application completeness is ensured, but system overhead and network bandwidth consumption increase significantly
Solution Approach 1:
The patent extracts and retrieves only the specific image layers that are dependencies of the requested layer, rather than downloading all layers. This is achieved through the on-demand retrieval mechanism that identifies and fetches only the necessary parent layers based on layer relationships, thereby reducing system overhead while ensuring application completeness.
Solution Approach 2:
The patent segments the image layer retrieval process into individual layer operations. Each layer can be retrieved independently based on its identifier and dependency relationships, allowing the system to download only the specific segments (layers) needed rather than treating the entire image as a single unit.
2Loss of energy
If image layers are retrieved on-demand based on specific identifiers, then network bandwidth consumption is reduced, but the complexity of layer identification and dependency management increases
Solution Approach 1:
The patent introduces an intermediary mechanism (the layer retrieval system with identifier-based matching) that mediates between the user's layer request and the storage repository. This intermediary handles the complexity of dependency identification and layer matching, simplifying the user interface while managing the underlying complexity through automated identifier comparison and dependency resolution.
3Ease of manufacture
If traditional bulk image layer retrieval is used, then implementation simplicity is maintained, but deployment time and resource utilization efficiency decrease
Solution Approach 1:
The patent performs preliminary actions by pre-organizing image layers with unique identifiers and establishing dependency relationships before retrieval. This pre-structuring allows the system to quickly identify and retrieve only the necessary layers during deployment, significantly reducing deployment time while maintaining implementation simplicity through standardized identifier-based operations.
4Loss of information
If all image layers are downloaded, then data completeness is ensured, but the risk to user environment and system stability increases
Solution Approach 1:
The patent extracts and retrieves only the specific image layers that are actual dependencies of the requested layer, excluding unnecessary layers. This extraction approach ensures that the system downloads the minimum required data set to maintain application completeness while reducing the risk exposure associated with downloading and processing excessive image data.
Data Source
AI summary
Embodiments of the present invention provide computer-implemented methods, computer program product, and computer systems. One or more processors assign an identifier that specifies a number of resources and a category associated with a respective image layer of a plurality of image layers. One or more processors, in response to receiving a user request, identify image layers of the plurality of image layers that match the identifier based on dependencies between the plurality of image layers. One or more processors can retrieve matched layers based on the functionality of respective image layers and the dependencies of those respective image layers.