Container Image Layer Dependency Analysis for Targeted Deployment
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Solution Overview
Problem
Existing container deployment methods require downloading and uploading all image layers, even when only specific layers need updating, leading to increased system overhead and risk, particularly in scenarios where only certain packages need to be updated to address issues like security or outages.
Innovation Solution
A method and system that analyze dependencies between image layers to generate a directed graph, allowing for the deployment of targeted containers with only the necessary layers, reducing unnecessary content and risk by identifying submissive and dependent sequences based on timestamps and file modifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all image layers are downloaded and uploaded during container deployment, then complete application functionality is ensured, but system overhead and deployment time increase significantly
Solution Approach 1:
The patent segments the container image into multiple layers and analyzes their dependencies to identify which layers are actually needed for the requested application. By dividing the image deployment into individual layer operations, the system can selectively download and upload only the necessary layers rather than treating the entire image as a single unit, thus reducing deployment time while maintaining functionality.
Solution Approach 2:
The patent extracts and identifies the specific subset of image layers that are required for the requested application by analyzing layer dependencies and application requirements. This extraction process allows the system to separate necessary layers from unnecessary ones, downloading and deploying only the extracted relevant layers, thereby reducing overhead and deployment time while ensuring complete application functionality.
2Reliability
If all image layers are deployed in every container, then application completeness is maintained, but system resource consumption and overhead increase
Solution Approach 1:
The system segments the image layers and uses dependency analysis to identify only the necessary layers for each application request. This segmentation enables selective deployment of layers, reducing the total number of layers deployed across containers while maintaining application completeness, thus lowering system resource consumption and overhead.
Solution Approach 2:
The patent applies partial action by deploying only the necessary subset of image layers required for each specific application, rather than deploying all layers excessively. By performing partial deployment based on dependency analysis, the system reduces resource consumption and overhead while ensuring that application completeness is maintained through inclusion of all required layers.
3Stability of the object's composition
If updated image layers are deployed to all containers, then consistency across the system is achieved, but unnecessary risk and overhead increase when only specific packages need updating
Solution Approach 1:
The patent extracts the specific updated layers that need to be deployed by analyzing the request and determining which layers contain the necessary updates. This extraction allows the system to deploy only the required updated layers to specific containers rather than redeploying all layers system-wide, thereby maintaining necessary consistency while reducing unnecessary risk and overhead associated with broad deployments.
Solution Approach 2:
The system applies local quality by tailoring the deployment to each specific container's needs based on dependency analysis. Instead of applying a uniform update strategy across all containers, the system identifies and deploys only the locally necessary updated layers to each container, reducing system risk and overhead while maintaining consistency where actually required.
Data Source
AI summary
Computer implemented method, systems, and computer program products include program code executing on a processor(s) obtain a first container comprising image layers, wherein the image layers include a base image layer and one or more image layers. The program code determines dependencies between the image layers. The program code obtains a request for an application where at least one image layer of the one or more image layers comprises features of the application. The program code identifies, based on the dependencies, at least one additional image layer related to the at least one image layer. The program code generates and deploys a second container, where image layers of the second container consist of the at least one image layer, the at least one additional image layer related to the at least one image layer, and the base layer.