Containerized Pipeline Checkpointing for Partial Re-execution
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current containerized application pipelines require the entire pipeline to be re-executed even if only a portion fails, wasting resources and inefficiency due to lack of mid-point execution capability.
Innovation Solution
Implementing a system that stores task results and generates checkpoints to allow dynamic re-execution of pipelines from a specific point, reusing previous results to execute only the necessary parts of the pipeline.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the entire pipeline is re-executed when a task fails, then the pipeline can be ensured to run correctly from scratch, but resource wastage increases and execution time increases
Solution Approach 1:
The pipeline is divided into discrete tasks with checkpoints between them. When a task fails, only the tasks after the checkpoint need re-execution, not the entire pipeline. This segmentation allows selective re-execution of only the necessary portions, reducing resource wastage while maintaining correctness.
Solution Approach 2:
Checkpoints are established in advance during pipeline execution to capture the state at specific points. These pre-established checkpoints enable rapid resumption of execution from the last known good state, avoiding the need to re-execute tasks that have already succeeded.
2Reliability
If the entire pipeline is re-executed when a task fails, then pipeline correctness is maintained, but execution time increases
Solution Approach 1:
The pipeline is divided into discrete tasks with checkpoints between them. When a task fails, only the tasks after the checkpoint need re-execution, not the entire pipeline. This segmentation allows selective re-execution of only the necessary portions, reducing resource wastage while maintaining correctness.
Solution Approach 2:
Checkpoints are established in advance during pipeline execution to capture the state at specific points. These pre-established checkpoints enable rapid resumption of execution from the last known good state, avoiding the need to re-execute tasks that have already succeeded.
3Loss of energy
If checkpoints are implemented for partial re-execution, then resource wastage is reduced and execution time is improved, but system complexity increases
Solution Approach 1:
A checkpoint manager acts as an intermediary component that handles checkpoint creation, storage, and restoration. This dedicated mediator simplifies the overall system architecture by centralizing the complexity of checkpoint management, making the rest of the pipeline execution logic simpler and more maintainable.
Data Source
AI summary
A method including: storing results of a task in a pipeline executed in a container running in a computing environment; generating a check point for the task; and re-executing the pipeline from the check point for the task reusing the results.


