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Understanding CPU Scheduling in Operating Systems

Explore the principles, metrics, and algorithms of CPU scheduling in operating systems, including FCFS, SJF, Priority, and Round Robin.

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In a modern multitasking operating system, multiple processes are constantly competing for the attention of the CPU. Because a single CPU core can generally only execute one instruction at a time, the operating system must act as a conductor, deciding which process gets to run, for how long, and in what order. This function is known as CPU Scheduling.

The goal of scheduling is not universal; it depends entirely on the workload. A desktop computer might prioritize responsiveness so the mouse doesn't lag, while a high-performance server might prioritize throughput to finish as many tasks as possible.

Understanding Scheduling Metrics

To determine if a scheduling algorithm is "good," we must measure its performance using specific mathematical metrics. When studying these, it is helpful to visualize the execution timeline using a Gantt chart, which shows the start and end times of each process on a linear scale.

The primary metrics used to evaluate these algorithms include:

  • CPU Utilization: The percentage of time the CPU is actively working rather than sitting idle.
  • Throughput: The number of processes completed per unit of time.
  • Turnaround Time: The total interval from the moment a process arrives to the moment it finishes. It is calculated as: Turnaround Time=Completion Time−Arrival Time\text{Turnaround Time} = \text{Completion Time} - \text{Arrival Time}
  • Waiting Time: The total amount of time a process spends sitting in the ready queue waiting for its turn.
  • Response Time: The time elapsed from when a process arrives until it is scheduled to run for the first time. It is calculated as: Response Time=First Run Time−Arrival Time\text{Response Time} = \text{First Run Time} - \text{Arrival Time}

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