Automatic container image registry selection

Patent metadata

Field	Value
Publication number	US-12450047-B2
Application number	US-202318309084-A
Country	US
Kind code	B2
Filing date	Apr 28, 2023
Priority date	Apr 28, 2023
Publication date	Oct 21, 2025
Grant date	Oct 21, 2025

Abstract

Automatic container image registry selection is provided. A predefined number of top performing container image registries is selected from a top of a sorted list of a plurality of container image registries listed in descending order. A cluster of host nodes where a container is deployed is enabled to pull a same container image corresponding to the container utilizing different predefined pulling percentages from the predefined number of top performing container image registries. The cluster of host nodes utilizes a different predefined pulling percentage to pull the same container image from each respective top performing container image registry. A current real time average pulling speed of the cluster of host nodes for the same container image from each respective top performing container image registry of the predefined number of top performing container image registries is recorded over a defined time period.

First claim

What is claimed is:

1. A computer-implemented method for automatic container image registry selection, the computer-implemented method comprising:
selecting, by a computer, a predefined number of top performing container image registries from a top of a sorted list of a plurality of container image registries listed in descending order;
enabling, by the computer, a cluster of host nodes where a container is deployed to pull a same container image corresponding to the container utilizing different predefined pulling percentages from the predefined number of top performing container image registries, the cluster of host nodes utilizes a different predefined pulling percentage to pull the same container image from each respective top performing container image registry; and
recording, by the computer, a current real time average pulling speed of the cluster of host nodes for the same container image from each respective top performing container image registry of the predefined number of top performing container image registries over a defined time period.

2. The computer-implemented method of claim 1 , further comprising:
selecting, by the computer, a top performing container image registry for the cluster of host nodes that allows the cluster of host nodes to have a fastest current real time average pulling speed based on recorded current real time average pulling speeds of the cluster of host nodes for the same container image from each of the predefined number of top performing container image registries over the defined time period.

3. The computer-implemented method of claim 1 , further comprising:
generating, by the computer, the sorted list of the plurality of container image registries that are listed in descending order from a fastest performing container image registry at a top to a slowest performing container image registry at a bottom of the sorted list based on historical performance data corresponding to respective container image registries in the sorted list;
identifying, by the computer, the cluster of host nodes where a scheduler is deploying the container that corresponds to the same container image included in each of the plurality of container image registries;
determining, by the computer, whether the cluster of host nodes has current real time average pulling speeds for the same container image corresponding to the container from the plurality of container image registries over the defined time period; and
selecting, by the computer, the predefined number of top performing container image registries from the top of the sorted list of the plurality of container image registries in response to the computer determining that the cluster of host nodes does not have current real time average pulling speeds for the same container image corresponding to the container from the plurality of container image registries over the defined time period.

4. The computer-implemented method of claim 3 , further comprising:
generating, by the computer, a new sorted list of the plurality of container image registries from a fastest performing container image registry at the top to the slowest performing container image registry at the bottom of the new sorted list based on historical real time average pulling speeds of the cluster of host nodes where the container is deployed from the plurality of container image registries, the current real time average pulling speeds for the same container image corresponding to the container from the plurality of container image registries over the defined time period, a historical real time average pulling speed weight, and a current real time average pulling speed weight in response to the computer determining that the cluster of host nodes does have the current real time average pulling speeds for the same container image corresponding to the container from the plurality of container image registries over the defined time period.

5. The computer-implemented method of claim 4 , further comprising:
selecting, by the computer, the predefined number of top performing container image registries from the top of the new sorted list of the plurality of container image registries;
enabling, by the computer, the cluster of host nodes where the container is deployed to pull the same container image corresponding to the container utilizing the different predefined pulling percentages from the predefined number of top performing container image registries selected from the top of the new sorted list; and
recording, by the computer, the current real time average pulling speed of the cluster of host nodes for the same container image from each respective top performing container image registry of the predefined number of top performing container image registries selected from the top of the new sorted list over the defined time period.

6. The computer-implemented method of claim 5 , further comprising:
generating, by the computer, a sorted list of the predefined number of top performing container image registries from the fastest performing container image registry at the top to the slowest performing container image registry at the bottom of the sorted list based on the current real time average pulling speed of the cluster of host nodes for the same container image from each respective top performing container image registry of the predefined number of top performing container image registries over the defined time period; and
performing, by the computer, a comparison between the new sorted list of the plurality of container image registries and the sorted list of the predefined number of top performing container image registries.

7. The computer-implemented method of claim 6 , further comprising:
determining, by the computer, whether an order of container image registries matches between the new sorted list of the plurality of container image registries and the sorted list of the predefined number of top performing container image registries based on the comparison;
identifying, by the computer, a change in the order of container image registries between the new sorted list of the plurality of container image registries and the sorted list of the predefined number of top performing container image registries in response to the computer determining that the order of container image registries does not match between the new sorted list of the plurality of container image registries and the sorted list of the predefined number of top performing container image registries based on the comparison; and
adjusting, by the computer, at least one of the historical real time average pulling speed weight or the current real time average pulling speed weight corresponding to the cluster of host nodes based on the change in the order of container image registries between the new sorted list of the plurality of container image registries and the sorted list of the predefined number of top performing container image registries.

8. A computer system for automatic container image registry selection, the computer system comprising:
a communication fabric;
a storage device connected to the communication fabric, wherein the storage device stores program instructions; and
a processor connected to the communication fabric, wherein the processor executes the program instructions to:
select a predefined number of top performing container image registries from a top of a sorted list of a plurality of container image registries listed in descending order;
enable a cluster of host nodes where a container is deployed to pull a same container image corresponding to the container utilizing different predefined pulling percentages from the predefined number of top performing container image registries, the cluster of host nodes utilizes a different

Assignees

• IBM

Inventors

• Fu Rong
• Sheng Hao
• Li Pan
• Sun xiao lin
• Chen Yao
• Meng Qing Yuan

Classifications

• G06F11/3419

  by assessing time · CPC title

• G06F11/301

  where the computing system is a virtual computing platform, e.g. logically partitioned systems (virtual machines G06F9/45533; logical partitioning of resources G06F9/5077) · CPC title

• G06F2201/815

  Virtual · CPC title

• G06F2201/865

  Monitoring of software · CPC title

• G06F11/3452

  Performance evaluation by statistical analysis · CPC title