Final answer:
The student's question concerns comparing CPU scheduling algorithms SRTF, Priority Preemptive, FCFS, and RR using simulations in Python, with process times generated via Poisson distribution. It involves processing simulated metrics like average waiting time and turnaround time for performance analysis.
Step-by-step explanation:
The question deals with comparing the performance of different CPU scheduling algorithms: Shortest Remaining Time First (SRTF), Priority Preemptive, First Come First Serve (FCFS), and Round Robin (RR), by using simulation methods in Python. Additionally, it requires the use of the Poisson probability distribution functions to generate the burst and arrival times for at least three processes.
To determine the performance of these scheduling algorithms, one would need to simulate their execution, possibly recording metrics such as average waiting time, average turnaround time, and CPU utilization. The Poisson distribution could be used in such a simulation to randomly generate process arrival and burst times, reflecting the stochastic nature of process scheduling in real operating systems.
Note: To find the probability that it takes less than one minute for the next customer to arrive after the current customer using the Poisson distribution, you would calculate 1 minus the probability of zero customers arriving in one minute.