Job Flow Cancellation via Message Queuing in Container Systems
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Solution Overview
Problem
Current systems face challenges in efficiently managing and coordinating the execution of distributed task routines across multiple container environments, particularly in ensuring reproducibility, accountability, and error checking, especially with large datasets and complex analysis tasks.
Innovation Solution
A distributed processing system utilizing message queuing to coordinate the execution of task routines, with dynamic resource allocation and federated areas for storage, allowing for parallel execution and fault tolerance through message queues and resource allocation routines.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If task routines are executed across multiple container environments with dynamic resource allocation, then system flexibility and resource utilization improve, but coordination complexity and execution reliability deteriorate
Solution Approach 1:
A message broker serves as an intermediary component that mediates communication between task containers and the job flow coordinator. The message broker receives task execution requests, manages task queues, and coordinates resource allocation without requiring direct complex interactions between all system components. This intermediary layer simplifies the coordination complexity while maintaining the flexibility of dynamic resource allocation across container environments.
2Reliability
If message queuing is implemented to coordinate task execution, then task coordination and reproducibility improve, but system complexity and processing overhead increase
Solution Approach 1:
The system segments the job flow coordination into distinct functional components: job submission, task queue management, container orchestration, and result aggregation. Each component handles a specific aspect of the workflow independently through standardized message interfaces. This segmentation reduces system complexity by creating modular, independently manageable units while maintaining reliable task coordination through the message queuing mechanism.
3Adaptability or versatility
If federated areas are used for storing job flow definitions and task routines, then data accessibility and collaboration improve, but storage management complexity increases
Solution Approach 1:
The federated storage system implements a universal interface layer that provides consistent access to job flow definitions and task routines across multiple distributed storage locations. This universal access layer handles diverse storage backends (file systems, databases, cloud storage) through a unified API, enabling improved data accessibility and collaboration while hiding the underlying storage management complexity from users and applications.
4Productivity
If dynamic resource allocation is implemented for container management, then resource utilization efficiency improves, but resource management complexity and execution time increase
Solution Approach 1:
The system performs preliminary actions by pre-defining resource allocation policies, container templates, and execution environments before job submission. Resource allocation rules and container configurations are established in advance, allowing the dynamic resource allocation system to make rapid decisions based on pre-established criteria rather than computing everything in real-time. This approach improves resource utilization efficiency while reducing the computational complexity and execution time of dynamic resource management.
Data Source
AI summary
An apparatus includes processor(s) to: receive, a request to cancel a performance of a job flow; store, within a task kill queue, a kill tasks request message; within a task container, in response to the storage of the kill tasks request message, cease execution of instructions of a task routine to cease performance of a task of a set of tasks of the job flow, and store, within a task queue, a task cancelation message indicating cancelation of execution of the task routine; within a performance container, execute instructions of a performance routine to cause the at least one processor to, in response to the storage of the task canceled message, store, within a job queue, a job cancelation message indicating cancelation of the job flow; and in response to the storage of the job cancelation message, transmit an indication of cancelation of the job flow to the requesting device.