When it comes to job scheduling, there are a number of complications that can arise based on factors like dependencies, resources, workflow requirements, and more. Three of the most common scheduling problems are outlined below.
Precedence constraints and dependencies: Some jobs are depending on other jobs and must be executed in a specific order. In this use case, if one job fails, it puts the entire workflow to a halt.
Resource allocation: Jobs require specific resources like CPU, memory, networking availability, and more. Performance issues and workflow disruptions can happen when resources aren’t allocated appropriately among jobs.
Scheduling optimization: Optimal scheduling minimizes job completion time, helps spread resource utilizations as needed, and reduces latency. Achieving this balance requires complex algorithms and heuristics.
See how Redwood RunMyJobs helps teams avoid common job scheduling problems.