DAG Scheduling

DAG Scheduling involves organizing and managing tasks that depend on each other, represented by a Directed Acyclic Graph (DAG). In this graph, nodes are tasks, and arrows show dependencies—meaning one task must finish before another begins. The goal of scheduling is to determine the order and timing for executing these tasks efficiently, often across multiple processors or computers, while respecting dependencies and minimizing total completion time. This approach ensures tasks are completed logically and efficiently, making complex workflows, like data processing or software builds, run smoothly.