Workload Management System for Short Job Prioritization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Computer processing systems face inefficiencies due to long and short jobs being processed together, leading to resource underutilization and potential abuse in separate queue systems, where short jobs are not always prioritized effectively without sophisticated queuing mechanisms.
Innovation Solution
Implementing a workload management system with separate resource pools for short, medium, and long jobs, where short jobs are prioritized initially, and long jobs are reduced in resources as new short jobs arrive, with automatic movement between priority groups based on CPU time thresholds, ensuring efficient resource allocation and minimizing disruptions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If separate queues are established for short and long jobs, then short jobs can be prioritized, but the system becomes more complex and requires sophisticated queuing mechanisms
Solution Approach 1:
The system segments the job processing pool into different priority levels based on job characteristics (short-running vs. long-running jobs). Jobs are dynamically assigned to priority groups, allowing the system to differentiate handling without requiring separate physical queues or complex queuing mechanisms. This segmentation enables preferential treatment of short jobs while maintaining a unified processing pool.
2Productivity
If all jobs are processed in a single pool, then resource utilization is maximized, but short jobs experience delays due to long jobs
Solution Approach 1:
The system dynamically adjusts job priority based on real-time job characteristics and system state. Jobs are not statically assigned to fixed queues but are dynamically evaluated and positioned in priority groups as they enter the processing pool. This dynamic approach allows the system to respond to changing conditions, ensuring short jobs receive preferential treatment when they arrive while maintaining high overall resource utilization.
Solution Approach 2:
The system changes the priority parameter of jobs based on their estimated or actual runtime characteristics. By monitoring job progress and resource consumption, the system adjusts priority levels to favor short-running jobs, allowing them to complete faster without requiring separate queues. This parameter-based differentiation enables efficient resource allocation across mixed job types.
3Productivity
If long jobs are stopped when short jobs arrive, then short jobs get immediate processing, but long jobs suffer disruptions and performance degradation
Solution Approach 1:
Instead of completely stopping long jobs when short jobs arrive, the system applies partial action by allocating a portion of processing resources to short jobs while allowing long jobs to continue with reduced resources. This approach ensures short jobs receive the attention they need for quick completion while long jobs make gradual progress without complete interruption, maintaining their eventual completion reliability.
Data Source
AI summary
In one embodiment, jobs requiring short processing time are given preference over jobs requiring long processing time by processing to completion all jobs for the first N seconds of the job. Jobs requiring longer than N seconds to complete are given a lower priority than a newly arriving job can and continue being processed, but are subject to reduction in resources by new jobs as each new job arrives.