import sys import json from collections import deque with open('config.json', 'r') as config_file: config = json.load(config_file) # Define the process data class class Process: def __init__(self, name, runtime, arrival_time, io_frequency): self.name = name self.runtime = runtime self.arrival_time = arrival_time self.io_frequency = io_frequency self.remaining_time = runtime self.io_counter = 0 def shortest_job_first(processes, quantum): current_time = 0 queue = [] scheduled_order = [] io_queue = deque() while processes or queue or io_queue: # Add arriving processes to the queue while processes and processes[0].arrival_time <= current_time: queue.append(processes.pop(0)) if not queue and processes: current_time = processes[0].arrival_time queue.append(processes.pop(0)) if queue: # Find the process with the shortest remaining time min_remaining_time = min(p.remaining_time for p in queue) selected_process = next(p for p in queue if p.remaining_time == min_remaining_time) queue.remove(selected_process) # Check for I/O interrupt for the current process if selected_process.io_frequency > 0 and selected_process.io_counter == selected_process.io_frequency: scheduled_order.append('!' + selected_process.name) selected_process.io_counter = 0 io_queue.append(selected_process) else: scheduled_order.append(selected_process.name) # Check if the process can be completed within the quantum if selected_process.remaining_time <= quantum: current_time += selected_process.remaining_time selected_process.remaining_time = 0 else: current_time += quantum selected_process.remaining_time -= quantum selected_process.io_counter += 1 queue.append(selected_process) while io_queue: io_process = io_queue.popleft() queue.append(io_process) return scheduled_order def main(): # Check if the correct number of arguments is provided if len(sys.argv) != 2: return 1 # Extract the input file name from the command line arguments input_file_name = f"Process_List/{config['dataset']}/{sys.argv[1]}" # Define the number of processes num_processes = 0 # Initialize an empty list for process data data_set = [] # Open the file for reading try: with open(input_file_name, "r") as file: # Read the number of processes from the file num_processes = int(file.readline().strip()) # Read process data from the file and populate the data_set list for _ in range(num_processes): line = file.readline().strip() name, duration, arrival_time, io_frequency = line.split(',') process = Process(name, int(duration), int(arrival_time), int(io_frequency)) data_set.append(process) except FileNotFoundError: print("Error opening the file.") return 1 quantum = 1 # Modify this value as per your requirements # Execute the shortest job first algorithm scheduled_order = shortest_job_first(data_set, quantum) # Generate output string based on the scheduled order output = ' '.join(scheduled_order) # Write the output to a file try: output_path = f"Schedulers/template/{config['dataset']}/template_out_{sys.argv[1].split('_')[1]}" with open(output_path, "w") as output_file: output_file.write(output) except IOError: print("Error opening the output file.") return 1 return 0 if __name__ == "__main__": exit_code = main() sys.exit(exit_code) decrease the response and turnaround of this schedular

import sys import json from collections import deque with open('config.json', 'r') as config_file: config = json.load(config_file) # Define the process data class class Process: def init(self, name, runtime, arrival_time, io_frequency): self.name = name self.runtime = runtime self.arrival_time = arrival_time self.io_frequency = io_frequency self.remaining_time = runtime self.io_counter = 0 def shortest_job_first(processes, quantum): current_time = 0 queue = [] scheduled_order = [] io_queue = deque() while processes or queue or io_queue: # Add arriving processes to the queue while processes and processes[0].arrival_time <= current_time: queue.append(processes.pop(0)) if not queue and processes: current_time = processes[0].arrival_time queue.append(processes.pop(0)) if queue: # Find the process with the shortest remaining time min_remaining_time = min(p.remaining_time for p in queue) selected_process = next(p for p in queue if p.remaining_time == min_remaining_time) queue.remove(selected_process) # Check for I/O interrupt for the current process if selected_process.io_frequency > 0 and selected_process.io_counter == selected_process.io_frequency: scheduled_order.append('!' + selected_process.name) selected_process.io_counter = 0 io_queue.append(selected_process) else: scheduled_order.append(selected_process.name) # Check if the process can be completed within the quantum if selected_process.remaining_time <= quantum: current_time += selected_process.remaining_time selected_process.remaining_time = 0 else: current_time += quantum selected_process.remaining_time -= quantum selected_process.io_counter += 1 queue.append(selected_process) while io_queue: io_process = io_queue.popleft() queue.append(io_process) return scheduled_order def main(): # Check if the correct number of arguments is provided if len(sys.argv) != 2: return 1 # Extract the input file name from the command line arguments input_file_name = f"Process_List/{config['dataset']}/{sys.argv[1]}" # Define the number of processes num_processes = 0 # Initialize an empty list for process data data_set = [] # Open the file for reading try: with open(input_file_name, "r") as file: # Read the number of processes from the file num_processes = int(file.readline().strip()) # Read process data from the file and populate the data_set list for _ in range(num_processes): line = file.readline().strip() name, duration, arrival_time, io_frequency = line.split(',') process = Process(name, int(duration), int(arrival_time), int(io_frequency)) data_set.append(process) except FileNotFoundError: print("Error opening the file.") return 1 quantum = 1 # Modify this value as per your requirements # Execute the shortest job first algorithm scheduled_order = shortest_job_first(data_set, quantum) # Generate output string based on the scheduled order output = ' '.join(scheduled_order) # Write the output to a file try: output_path = f"Schedulers/template/{config['dataset']}/template_out_{sys.argv[1].split('_')[1]}" with open(output_path, "w") as output_file: output_file.write(output) except IOError: print("Error opening the output file.") return 1 return 0 if name == "main": exit_code = main() sys.exit(exit_code) decrease the response and turnaround of this schedular

Systems Architecture

7th Edition

ISBN:9781305080195

Author:Stephen D. Burd

Publisher:Stephen D. Burd

Chapter3: Data Representation

Section: Chapter Questions

Problem 3RP

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Related questions

Question

import sys

import json

from collections import deque

with open('config.json', 'r') as config_file:

config = json.load(config_file)

# Define the process data class

class Process:

def __init__(self, name, runtime, arrival_time, io_frequency):

self.name = name

self.runtime = runtime

self.arrival_time = arrival_time

self.io_frequency = io_frequency

self.remaining_time = runtime

self.io_counter = 0

def shortest_job_first(processes, quantum):

current_time = 0

queue = []

scheduled_order = []

io_queue = deque()

while processes or queue or io_queue:

# Add arriving processes to the queue

while processes and processes[0].arrival_time <= current_time:

queue.append(processes.pop(0))

if not queue and processes:

current_time = processes[0].arrival_time

queue.append(processes.pop(0))

if queue:

# Find the process with the shortest remaining time

min_remaining_time = min(p.remaining_time for p in queue)

selected_process = next(p for p in queue if p.remaining_time == min_remaining_time)

queue.remove(selected_process)

# Check for I/O interrupt for the current process

if selected_process.io_frequency > 0 and selected_process.io_counter == selected_process.io_frequency:

scheduled_order.append('!' + selected_process.name)

selected_process.io_counter = 0

io_queue.append(selected_process)

else:

scheduled_order.append(selected_process.name)

# Check if the process can be completed within the quantum

if selected_process.remaining_time <= quantum:

current_time += selected_process.remaining_time

selected_process.remaining_time = 0

else:

current_time += quantum

selected_process.remaining_time -= quantum

selected_process.io_counter += 1

queue.append(selected_process)

while io_queue:

io_process = io_queue.popleft()

queue.append(io_process)

return scheduled_order

def main():

# Check if the correct number of arguments is provided

if len(sys.argv) != 2:

return 1

# Extract the input file name from the command line arguments

input_file_name = f"Process_List/{config['dataset']}/{sys.argv[1]}"

# Define the number of processes

num_processes = 0

# Initialize an empty list for process data

data_set = []

# Open the file for reading

try:

with open(input_file_name, "r") as file:

# Read the number of processes from the file

num_processes = int(file.readline().strip())

# Read process data from the file and populate the data_set list

for _ in range(num_processes):

line = file.readline().strip()

name, duration, arrival_time, io_frequency = line.split(',')

process = Process(name, int(duration), int(arrival_time), int(io_frequency))

data_set.append(process)

except FileNotFoundError:

print("Error opening the file.")

return 1

quantum = 1 # Modify this value as per your requirements

# Execute the shortest job first algorithm

scheduled_order = shortest_job_first(data_set, quantum)

# Generate output string based on the scheduled order

output = ' '.join(scheduled_order)

# Write the output to a file

try:

output_path = f"Schedulers/template/{config['dataset']}/template_out_{sys.argv[1].split('_')[1]}"

with open(output_path, "w") as output_file:

output_file.write(output)

except IOError:

print("Error opening the output file.")

return 1

return 0

if __name__ == "__main__":

exit_code = main()

sys.exit(exit_code)

decrease the response and turnaround of this schedular

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