Container Reuse in Pipeline Workloads
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Solution Overview
Problem
Current container orchestration environments do not optimize resources effectively for pipeline workloads comprising multiple steps, particularly in artificial intelligence processing, leading to inefficiencies and increased costs due to the need for repeated preparation of container environments.
Innovation Solution
Implementing a method where a computer system reuses containers by communicating with a pipeline workload manager to determine if a finished container can run a different step in a different pipeline workload, thereby eliminating the need for a prepare container environment sub-step and reducing execution time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a container is created and prepared for each step in a pipeline workload, then the container environment is properly set up for that step, but the preparation time is repeated for every container creation
Solution Approach 1:
The patent applies preliminary action by preparing the container environment once when the container is first created, then reusing this pre-prepared container for multiple pipeline steps. The environment setup (installing dependencies, configuring runtime) is performed in advance and cached, eliminating the need to repeat preparation for each subsequent step that uses the same container.
Solution Approach 2:
The patent recovers and reuses containers after their initial purpose is completed. Instead of discarding containers after a single use, the system recovers them and assigns them to new pipeline workloads, maintaining their prepared state. This allows the same container to serve multiple workloads without re-preparation, significantly reducing execution time.
2Productivity
If containers are reused across different pipeline workloads, then execution time is reduced by eliminating environment preparation, but resource allocation and scheduling complexity increases
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously monitors container status, workload requirements, and resource availability. The container management system receives feedback about which containers are available, their current state, and matches them with suitable pipeline workloads. This automated feedback loop manages the complexity of container reuse by making real-time decisions about allocation and scheduling.
Solution Approach 2:
The system enables self-service by allowing containers to be automatically allocated and assigned to workloads based on their capabilities and current state. The container management infrastructure autonomously handles the complexity of tracking, scheduling, and assigning containers to appropriate pipeline steps without manual intervention, reducing the perceived complexity for users.
3Reliability
If the prepare container environment sub-step is performed for each container, then the container is ready to execute its step, but the overall pipeline execution time increases
Solution Approach 1:
The patent merges the environment preparation step with the container creation step, performing preparation once when the container is initially created rather than separately for each pipeline step. Multiple pipeline steps that can run on the same container type share the same prepared environment, combining what would otherwise be repeated preparation operations into a single upfront action.
Data Source
AI summary
Reusing containers is provided. It is communicated to a pipeline workload manager that a particular container has finished running a step of a pipeline workload using an agent daemon of the particular container. Pipeline workload information corresponding to the pipeline workload is checked using the pipeline workload manager to determine whether the particular container can be reused to run a particular step in a different pipeline workload. The particular container is provided to be reused to run the particular step in the different pipeline workload without having to perform a prepare container environment sub-step of that particular step based on determining that the particular container can be reused to run that particular step in the different pipeline workload according to the pipeline workload information.