Peer-to-Peer Delta Image Dispatch for In-Memory Database Containers
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Solution Overview
Problem
Traditional container-based systems for in-memory databases face inefficiencies in image deployment and management, leading to significant time delays and bandwidth issues due to the need to download entire database images for updates, especially when multiple services request the same updated version simultaneously.
Innovation Solution
A peer-to-peer delta image dispatch system is introduced, utilizing a 'diff' operator to calculate differences between database versions and a 'merge' operator to create image patches, which are then distributed to patch workers for local updating, eliminating the need to download entire images and enabling concurrent updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If traditional container-based systems download complete database images for updates, then image deployment is straightforward, but bandwidth consumption increases significantly and time delays occur
Solution Approach 1:
The patent segments the database image into a base image and multiple delta updates. Instead of downloading the complete image for each update, the system downloads only the delta portions (changes) between versions. This is implemented through the delta image dispatch system that calculates differences between image versions and distributes only those differences to worker nodes.
Solution Approach 2:
The patent extracts only the necessary changes (deltas) from the complete image and separates them from the base image. The diff operator extracts differences between image versions, and the system then distributes only these extracted deltas rather than the entire image, reducing bandwidth consumption while maintaining deployment capability.
2Ease of manufacture
If traditional container-based systems download complete database images for updates, then image deployment is straightforward, but deployment time increases significantly
Solution Approach 1:
The patent segments the image update process into base image retrieval and delta update retrieval. By segmenting the download operation, the system can retrieve only the necessary delta portions rather than waiting for complete image downloads, significantly reducing deployment time while maintaining simplicity through automated delta calculation and distribution.
Solution Approach 2:
The system performs preliminary actions by pre-calculating and storing delta updates between image versions. When an update is needed, the diff operator has already identified what needs to be transferred, and the dispatch manager prepares the delta packages in advance, allowing worker nodes to apply updates quickly without waiting for large image transfers.
3Productivity
If multiple services request updated images simultaneously, then system responsiveness improves, but bandwidth bottlenecks occur
Solution Approach 1:
The patent merges the delta update distribution into a single efficient process. The dispatch manager collects delta updates from the registry and distributes them to multiple worker nodes simultaneously. By merging the update mechanism, the system can serve multiple services concurrently without creating individual bandwidth bottlenecks for each service, as they all share the same efficient delta distribution infrastructure.
Solution Approach 2:
The dispatch manager acts as an intermediary between the image registry and multiple worker nodes. It receives update requests from multiple services, calculates necessary deltas using the diff operator, and efficiently distributes only the required delta portions to each worker. This intermediary role enables concurrent service updates while managing bandwidth resources intelligently.
4Productivity
If multiple services request updated images simultaneously, then system responsiveness improves, but deployment bottlenecks occur
Solution Approach 1:
The worker nodes perform self-service by automatically receiving delta updates from the dispatch manager and applying them to their local base images. The merge operator automatically integrates the deltas without requiring manual intervention or complex coordination between services. Each worker node independently manages its own update process, enabling concurrent deployments while keeping the process simple and automated.
Data Source
AI summary
In an example embodiment, a solution is used to provide for a highly efficient image dispatch system for container-based in-memory databases in a database-as-a-service framework that provides storage and bandwidth cost savings and introduces advanced features of container techniques. This solution makes best use of the advantages of the concurrent and distributed capabilities of in-memory databases in a database-as-a-service framework. A container operator manager provides operators for various uses, such as the “diff” operator and the “merge” operator. A dispatch manager acts as a centralized service for diff content maintenance, patch publication and management of dispatch worker nodes. A patch worker on each node has the capabilities to execute the specified patching and validation between the images located on each side of the in-memory database in the database-as-a-service framework.