Which CPU scheduling algorithm is known for minimizing

Solution

Shortest Job First (SJF) is recognized for minimizing the average waiting time in CPU scheduling by prioritizing the execution of the shortest processes first. The fundamental principle behind SJF is that by executing shorter tasks before longer ones, the overall waiting time for the processes in the queue is reduced. This scheduling approach can lead to a more efficient turnaround time, making it ideal for batch systems where the length of the process is known in advance. However, SJF can be challenging to implement in practice due to the difficulty in accurately predicting the execution time of processes. It also introduces the risk of starvation for longer processes, as shorter tasks may continuously enter the queue and take precedence. Despite these limitations, SJF is optimal in minimizing waiting times and is widely discussed in academic contexts regarding CPU scheduling strategies. Option A (FCFS) - First-Come, First-Served scheduling does not minimize waiting time effectively, especially if long processes precede shorter ones. Option C (Round Robin) - Round Robin scheduling is designed for time-sharing systems, ensuring fairness but not necessarily minimizing waiting time for processes. Option D (Priority Scheduling) - Priority scheduling can lead to starvation for lower-priority processes and does not guarantee minimal waiting time for all processes. Option E (LJF) - Longest Job First is counterproductive for minimizing waiting times, as it prioritizes lengthy processes over shorter ones.