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Add Earliest Deadline First scheduling code #11384

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90 changes: 90 additions & 0 deletions scheduling/earliest_deadline_first.py
Original file line number Diff line number Diff line change
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"""
Earliest Deadline First (EDF) scheduling algorithm
In EDF, the process with the earliest deadline is selected for execution.
https://en.wikipedia.org/wiki/Earliest_deadline_first_scheduling
Author: KelvinPuyam
"""

from __future__ import annotations


def calculate_waiting_times(
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@cclauss cclauss Apr 23, 2024

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Please correct the docstrings or comments if they are incorrect. Is ticks correct or is it seconds, hours, months? The name burst_time is not obvious so please use the docstrings or comments to explain. Is the overall process time-boxed (e.g. all jobs must be completed in 60 ticks)?

Suggested change
def calculate_waiting_times(
from typing import NamedTuple
class Job(NamedTuple):
arrival_time: int # Time in ticks when this job first becomes available to be processed.
burst_time: int # Number of ticks that this job takes to complete.
deadline: int # Time in ticks when this job must be complete or it is not worth running.
__slots__ = ()
def calculate_waiting_times(

arrival_times: list[int], burst_times: list[int], deadlines: list[int]
) -> list[int]:
"""
Calculate the waiting times of processes using EDF algorithm.
Return: List of waiting times for each process.
"""
n = len(arrival_times)
waiting_times = [0] * n
remaining_times = burst_times.copy()

current_time = 0
process_executed = 0
while process_executed < n:
min_deadline = float("inf")
selected_process = -1
for i in range(n):
if (
arrival_times[i] <= current_time
and remaining_times[i] > 0
and deadlines[i] < min_deadline
):
min_deadline = deadlines[i]
selected_process = i

if selected_process == -1:
current_time += 1
continue

waiting_times[selected_process] = current_time - arrival_times[selected_process]
current_time += burst_times[selected_process]
remaining_times[selected_process] = 0
process_executed += 1

return waiting_times


def calculate_turnaround_times(
burst_times: list[int], waiting_times: list[int]
) -> list[int]:
"""
Calculate the turnaround times of processes.
Return: List of turnaround times for each process.
"""
return [burst_times[i] + waiting_times[i] for i in range(len(burst_times))]


def calculate_average_turnaround_time(turnaround_times: list[int]) -> float:
"""
Calculate the average turnaround time.
Return: The average turnaround time.
"""
return sum(turnaround_times) / len(turnaround_times)


def calculate_average_waiting_time(waiting_times: list[int]) -> float:
"""
Calculate the average waiting time.
Return: The average waiting time.
"""
return sum(waiting_times) / len(waiting_times)


if __name__ == "__main__":
arrival_times = [0, 1, 2]
burst_times = [3, 5, 2]
deadlines = [5, 7, 6]
Comment on lines +75 to +77
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@cclauss cclauss Apr 23, 2024

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Suggested change
arrival_times = [0, 1, 2]
burst_times = [3, 5, 2]
deadlines = [5, 7, 6]
jobs = (Job(0, 3, 5), Job(1, 5, 7), Job(2, 2, 6))


waiting_times = calculate_waiting_times(arrival_times, burst_times, deadlines)
turnaround_times = calculate_turnaround_times(burst_times, waiting_times)

average_waiting_time = calculate_average_waiting_time(waiting_times)
average_turnaround_time = calculate_average_turnaround_time(turnaround_times)

print("Process\tBurst Time\tWaiting Time\tTurnaround Time")
for i in range(len(arrival_times)):
print(f"{i+1}\t{burst_times[i]}\t\t{waiting_times[i]}\t\t{turnaround_times[i]}")

print(f"Average waiting time: {average_waiting_time}")
print(f"Average turnaround time: {average_turnaround_time}")