Embedded Scheduler for Parallelization Control
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Solution Overview
Problem
Existing external schedulers struggle to effectively control the degree of parallelization in computer-implemented processes, often leading to overloading or delayed execution due to inadequate resource management.
Innovation Solution
The implementation of an embedded scheduler within a scheduler client that monitors resource usage and improves parallelization of subtasks by creating multiple instances of the scheduler client to manage resource allocation and task execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If an external scheduler is used to trigger processes, then task scheduling is provided, but control over the degree of parallelization is difficult
Solution Approach 1:
The patent embeds a scheduler instance within each scheduler client process, creating a nested scheduling architecture where the embedded scheduler operates inside the client while coordinating with external schedulers. This allows fine-grained control over parallelization at the client level while maintaining overall system coordination.
Solution Approach 2:
The embedded scheduler acts as an intermediary between the external scheduler and the actual task execution. It receives task assignments from external schedulers and autonomously manages parallelization by creating and coordinating worker threads, thereby providing control over the degree of parallelization without requiring changes to the external scheduler architecture.
2Productivity
If multiple instances of scheduler client are created to provide additional resources, then resource allocation is improved, but system complexity increases
Solution Approach 1:
The system segments the scheduling functionality by creating multiple independent scheduler client instances, each with its own embedded scheduler. This segmentation allows resources to be distributed across multiple processes while each instance independently manages its own task execution and parallelization, improving resource utilization without requiring a monolithic complex system.
Solution Approach 2:
Each scheduler client instance is designed to be universal and self-sufficient, capable of independently receiving tasks, managing its own embedded scheduler, and executing tasks with controlled parallelization. This multi-functionality allows multiple instances to work in parallel, improving overall resource utilization while keeping each instance relatively simple.
3Adaptability or versatility
If embedded scheduler monitors resource use, then parallelization control is improved, but overhead increases
Solution Approach 1:
The embedded scheduler implements self-service monitoring where each scheduler client instance autonomously tracks its own resource usage and adjusts its parallelization strategy accordingly. This eliminates the need for external monitoring infrastructure, providing fine-grained parallelization control while minimizing overhead through self-managed resource awareness.
Data Source
AI summary
Techniques and solutions are provided for improving the performance of scheduled, computer-implemented tasks. A scheduler client can include an embedded scheduler. The embedded scheduler can monitor resource use by the scheduler client during execution of instances of a scheduled job. The embedded scheduler can also monitor resource used by targets of the scheduler client. The embedded scheduler can improve parallelization of subtasks for an instance of a scheduled job. Multiple instances of the scheduler client can be created to provide additional resources to be used in executing schedule instances. The multiple instances of the scheduler client can share access to information regarding schedule instances, such as to assist in selection of schedule instances to be executed by a particular scheduler client.