International business machines corporation (20240345902). Container Layer Translation Across Processor Architectures and Resource Heterogeneity simplified abstract

Container Layer Translation Across Processor Architectures and Resource Heterogeneity

Organization Name

international business machines corporation

Inventor(s)

Oleksandr Osadchyy of Concord CA (US)

Christopher Thomas Vogan of Cedar Park TX (US)

Container Layer Translation Across Processor Architectures and Resource Heterogeneity - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240345902 titled 'Container Layer Translation Across Processor Architectures and Resource Heterogeneity

Simplified Explanation: The patent application describes a method for translating container layers between different processor architectures, allowing for the dynamic mapping of source image layers from one type of processor architecture to another.

• Dynamic mapping of source image layers from an original container image to corresponding target image layers for a different processor architecture is performed.
• Computational resource ratios needed to run the dynamically mapped image layers on the target container image are determined based on the technical stack type of the associated application.
• The target container image with dynamically mapped image layers and computational resource ratios is then served to a target host computer node with the second type of processor architecture via a network.

Key Features and Innovation:

• Translation of container layers across different processor architectures.
• Dynamic mapping of source image layers to target image layers.
• Determination of computational resource ratios based on technical stack type.
• Serving the target container image to a target host computer node.

Potential Applications: This technology can be used in cloud computing, edge computing, and IoT devices to optimize performance across different processor architectures.

Problems Solved:

• Overcoming compatibility issues between different processor architectures.
• Efficient resource allocation for running container images on diverse hardware.

Benefits:

• Improved flexibility in deploying containerized applications.
• Enhanced performance across various processor architectures.
• Streamlined translation process for container layers.

Commercial Applications: Optimizing containerized applications for diverse hardware environments in cloud computing services, edge computing solutions, and IoT devices.

Prior Art: Prior art related to this technology may include research on containerization, processor architecture compatibility, and dynamic resource allocation in cloud computing.

Frequently Updated Research: Stay updated on advancements in containerization technologies, processor architecture compatibility, and dynamic resource allocation in cloud computing for relevant research.

Questions about Container Layer Translation: 1. How does this technology improve the efficiency of running containerized applications on different processor architectures? 2. What are the key considerations for determining computational resource ratios based on the technical stack type of an application?

Original Abstract Submitted

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.