Container Image Translation Across Processor Architectures

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Container images built for specific processor architectures cannot run on incompatible architectures without rebuilding, leading to overhead and limitations in deploying containers across heterogeneous environments, as existing solutions fail to predictively map computational resource requirements.

Innovation Solution

A multi-architecture registry proxy dynamically maps source container image layers to target layers and determines computational resource ratios based on the application's technical stack, enabling containers to run on different processor architectures by translating and optimizing image layers and resource needs.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If container images are built for specific processor architectures, then execution reliability on target architecture is improved, but adaptability to run on different architectures deteriorates

Engineering Contradiction:

Improveexecution reliabilityVSAvoidarchitecture adaptability

Core Design Contradiction:

ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent introduces an image translation service as an intermediary component between the container registry and the container runtime. This service translates container images from source architecture to target architecture dynamically, allowing container images built for specific architectures to run on incompatible architectures without rebuilding, thus resolving the contradiction between execution reliability and architecture adaptability

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system performs preliminary architecture compatibility checking and dynamic translation before container execution. The image translation service proactively translates images to the target architecture and caches the translated versions, so that when containers need to run on different architectures, the translation has already been completed, ensuring both reliability and adaptability

Inventive Principle:

Principle #10Preliminary action

2Adaptability or versatility

If container images are rebuilt for each target architecture, then execution compatibility is improved, but deployment time and computational overhead worsen

Engineering Contradiction:

Improvearchitecture compatibilityVSAvoiddeployment time

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The system performs architecture translation in advance when the container image is first pulled or before execution is needed. The translated images are cached and stored, so subsequent deployments to the same target architecture can use the pre-translated images directly, eliminating repeated translation overhead and reducing deployment time

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

Instead of rebuilding container images for each target architecture, the system creates translated copies of the original image through dynamic translation. These copied and translated images are then cached and reused, avoiding the time-consuming process of rebuilding images while maintaining architecture compatibility

Inventive Principle:

Principle #26Copying

3Productivity

If computational resource requirements are not predicted, then resource allocation flexibility is improved, but resource utilization efficiency deteriorates

Engineering Contradiction:

Improveresource utilization efficiencyVSAvoidresource prediction complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system implements feedback mechanisms where the image translation service monitors and analyzes actual resource consumption patterns of translated container images. This feedback is used to refine and optimize the computational resource ratio predictions, improving resource allocation accuracy and utilization efficiency while managing complexity through iterative optimization

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS20240345902A1Container Layer Translation Across Processor Architectures and Resource Heterogeneity

Publication Date: 2024.10.17 INTERNATIONAL BUSINESS MACHINE CORPORATION

AI summary

Performing container layer translation across different types of processor architectures is provided. Dynamic mapping of respective source image layers of an original source container image built for a first type of processor architecture to corresponding target image layers for a second type of processor architecture that is different from the first type of processor architecture is performed. Computational resource ratios needed to run dynamically mapped image layers of a target container image using the second type of processor architecture is determined based, at least in part, on a technical stack type of an application associated with the respective source image layers of the original source container image. The target container image having the dynamically mapped image layers along with the computational resource ratios is served to a target host computer node that includes the second type of processor architecture via a network.