Containerization Framework Layer Segmentation
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Solution Overview
Problem
Existing containerization systems face challenges in efficiently updating or modifying containers, as customization in one layer requires rebuilding across all layers, leading to time-consuming processes and inefficiencies.
Innovation Solution
The proposed solution involves deploying an initial container image with associated startup, pre-service, and post-service scripts, followed by a main container image deployment, which allows for independent customization and management of each container layer without requiring a full rebuild.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If customization is done by creating another image using dockerfile and docker build command across multiple layers, then customization can be achieved, but it requires rebuilding from base to that layer which is time consuming
Solution Approach 1:
The patent segments the container image into multiple independent layers (base layer, service layer, customization layer). Each layer can be modified independently without affecting others. The customization layer is separated from the base layer, allowing changes to be made without rebuilding the entire image from scratch.
Solution Approach 2:
The patent performs preliminary actions by pre-building the base layer and service layers separately before the customization step. This allows the customization layer to be applied on top of pre-prepared layers, avoiding the need to rebuild the entire image when customizing.
2Stability of the object's composition
If modifying one layer requires rebuilding from base to that layer, then all layers are updated consistently, but the process is time consuming and inefficient
Solution Approach 1:
The container image is segmented into independent layers that can be managed separately. The base layer, service layer, and customization layer are distinct segments that can be updated independently while maintaining overall system consistency through controlled integration points.
Solution Approach 2:
The patent uses copying mechanisms where the customization layer is copied onto the existing base and service layers rather than rebuilding everything. This allows efficient duplication of the customized image without reprocessing all layers.
3Adaptability or versatility
If multiple customization layers are used, then comprehensive customization is achieved, but providing a fix at one layer requires images to be built across other layers
Solution Approach 1:
The patent divides the customization process into distinct segments or layers, where each layer has a specific purpose. This segmentation allows fixes to be applied at the appropriate layer without affecting other layers, reducing the complexity of cross-layer builds.
Solution Approach 2:
The patent introduces intermediary mechanisms (such as build context management and layer integration points) that facilitate communication and integration between layers without requiring full rebuilds. These intermediaries manage the complexity of multi-layer customization.
Data Source
AI summary
Systems and methods for containerization are provided. Various embodiments provide containerization systems and methods that The method includes deploying an initial container image associated with a startup script, a pre-service script and post-service script. This deployment Further, the method includes executing the startup script associated with the initial container image, and the executing including copying configuration information for the initial container image into a volume and generating a marker file for the initial container image. The containerization systems and methods The method also includes deploying a main container image associated with a startup script. This deployment The method also includes executing the startup script associated with the main container image and copying the configuration information from the volume to a local system. This deployment alse Additionally, the method includes executing the main container, including executing the pre-service script associated with the initial container image, configuring the main container, executing a main service, and executing the post-service script associated with the initial container image.