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generate_job.py
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import pandas as pd
import numpy as np
import random
def generate_job(batch_size,request_amount, duration ):
# [[100, 50s], [100, 50s], [100, 50s], ...]
request_list = [[request_amount, duration] for _ in range(batch_size)]
return request_list
def generate_batch_job( job_amount, batch_size, interval, request_amount, duration_list ):
request_list = [[] for _ in range(batch_size)]
start_time = [*range(0 , batch_size*interval, interval ) ]
for time in range(batch_size):
batch_job = []
# request_list[time] = [[ ]for _ in range(job_amount)]
# each batch: [[1, 10 cilents, 0s , 600s ], [...], [...]]
for type in range(job_amount):
request = request_amount[type]
duration = duration_list[type]
batch_job.append([type+1, request, start_time[time] , duration])
request_list[time].append(batch_job)
# print(request_list)
return request_list
def plot_request( job_amount, batch_size, interval, request_amount, duration_list ):
import matplotlib.pyplot as plt
# start_end_list.sort(key=lambda x: x[0])
# request_list = [[] for _ in range(batch_size)]
start_time = [*range(0 , batch_size*interval, interval ) ]
start_end_list = []
for time in range(batch_size):
# batch_job = []
# request_list[time] = [[ ]for _ in range(job_amount)]
# each batch: [[1, 10 cilents, 0s , 600s ], [...], [...]]
for type in range(job_amount):
request = request_amount[type]
duration = duration_list[type]
# batch_job.append([type+1, request, start_time[time] , duration])
start_end_list.append([ start_time[time] , start_time[time] + duration, request ] )
# request_list[time].append(batch_job)
max_len = 86400
res = [0 for _ in range(max_len)]
for interval in start_end_list:
start, end, num = interval[0], min(interval[1], max_len), interval[2]
for i in range(start, end):
res[i] += num
plt.plot(res)
plt.ylabel('Ideal request')
plt.show()
if __name__ == '__main__':
plot_request(3, 100, 800, [1500,2000,5000], [200, 400, 50])