P2P Container Image Pulling Across Availability Zones

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Solution Overview

Problem

Existing container image pulling methods in P2P networks are inefficient, leading to increased horizontal scaling latency, CPU cost, and networking costs due to the time-consuming process of downloading large images from remote central registries, especially when evictor and rebalancing operations are involved.

Innovation Solution

The method involves pulling container images from nearby worker nodes within the same or closest availability zones, splitting them into smaller chunks, and transferring these chunks concurrently without compression to reduce latency and networking costs.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If container images are pulled from remote central registries, then image availability is ensured, but image transfer time and networking costs increase

Engineering Contradiction:

Improveimage availabilityVSAvoidimage transfer time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

Existing worker nodes act as intermediary nodes that store container images locally and serve them to new nodes. This intermediary mechanism reduces the distance between image storage and consumption, eliminating the need for new nodes to pull large images directly from remote central registries, thereby reducing transfer time while maintaining image availability through distributed storage across the cluster

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

Container images are copied from existing worker nodes to new nodes through peer-to-peer transfer. Instead of each node independently pulling images from central registries, images are replicated across the cluster via direct node-to-node copying, reducing redundant network transfers and accelerating image deployment

Inventive Principle:

Principle #26Copying

2Adaptability or versatility

If container images are pulled from remote central registries, then centralized image management is maintained, but networking costs and bandwidth consumption increase

Engineering Contradiction:

Improvecentralized image managementVSAvoidnetworking cost

Core Design Contradiction:

Adaptability or versatilityVSLoss of energy

Solution Approach 1:

The system introduces intermediary worker nodes that cache container images locally. These intermediaries serve as local sources for image distribution, reducing the frequency and volume of direct connections to central registries. This maintains centralized image management capability while dramatically reducing networking costs through local peer-to-peer transfers

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system merges the functions of centralized registry and distributed caching by enabling worker nodes to serve as both consumers and providers of container images. This hybrid approach combines the reliability of centralized management with the efficiency of distributed delivery, reducing overall network bandwidth consumption

Inventive Principle:

Principle #5Merging (Combining)

3Productivity

If evictor and rebalancing operations are performed, then cluster efficiency is improved, but pod pending time increases due to image pulling delays

Engineering Contradiction:

Improvecluster efficiencyVSAvoidpod pending time

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

Container images are pre-pulled and cached on worker nodes before evictor and rebalancing operations are triggered. This preliminary action ensures that when nodes are evicted or rebalanced, the required images are already available in the cluster, eliminating pod pending time caused by image pulling delays while maintaining cluster efficiency improvements

Inventive Principle:

Principle #10Preliminary action

4Speed

If container images are stored in multiple availability zones, then access speed is improved, but networking cost increases

Engineering Contradiction:

Improveaccess speedVSAvoidnetworking cost

Core Design Contradiction:

SpeedVSLoss of energy

Solution Approach 1:

The system prioritizes local image transfers within the same availability zone before falling back to cross-zone transfers. By making image retrieval quality local-first, it maximizes access speed for co-located nodes while minimizing expensive cross-zone networking costs, creating a tiered access strategy that optimizes both speed and cost

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS20260050431A1P2p image distribution

Publication Date: 2026.02.19 CAST AI GROUP INC

AI summary

A computer-implemented method of pulling container images, the method comprising adding, by a processor, a new node to a multi-node cluster that includes worker nodes deployed across availability zones, wherein the new node is deployed in a first availability zone; and pulling, by the processor, container images from a first subset of the worker nodes deployed in the first availability zone, and providing the pulled container images to the new node.