可行的模拟环境实施

Question

我使用simpy库python创建了一个简单的模拟环境，其中只有一个生成器和两个使用者。 生成器以随机速率以及另一个随机数生成请求。 该随机数将传递给第一个使用该数字作为处理时间的使用者 。 相同的随机数从第一使用者传递到第二使用者 ， 第二消费者再次将其用作其处理时间。 当有更多的使用者时，此实现的代码（如下所述）似乎不可行，因为我将不得不添加更多的consumer_()方法。 我希望能够以更可行的方式模拟相同的设置。 感谢有关如何执行此任务的一些指导。 谢谢！

import pandas
import simpy
import numpy as np
import scipy.stats as st
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import random

RANDOM_SEED = 42
NEW_REQUEST = 100

s1_totalQueueLength = 0
s1_sumWaitingTime = 0.0

s2_totalQueueLength = 0
s2_sumWaitingTime = 0.0


def generator(env, number, s1_counter, s2_counter):
    for i in range(number):
        r = random.expovariate(75.00)
        s1 = server_one(env, i, s1_counter, s2_counter, r)
        env.process(s1)
        t = random.expovariate(15)
        yield env.timeout(t)


def consumer_1(env, i, s1_counter, s2_counter, s3_counter, r):
    global s1_totalQueueLength
    global s1_sumWaitingTime
    global arrivalTime

    arrive = env.now
    arrivalTime = arrive

    with s1_counter.request() as req:
        results = yield req
        wait = env.now - arrive
        yield env.timeout(r)

        s2 = consumer_2(env, i, s2_counter, s3_counter, tib)
        env.process(s2)

        s1_totalQueueLength = s1_totalQueueLength + len(s1_counter.queue)
        s1_sumWaitingTime = s1_sumWaitingTime + wait
        if i > 0:
            print("Server 1: average queue length = " + str(s1_totalQueueLength/i) + " average waiting time = " + str(s1_sumWaitingTime/i))

        file1.write(str(wait) + "\n")


def consumer_2(env, i, s2_counter, s3_counter, tib):
    global s2_totalQueueLength
    global s2_sumWaitingTime
    print("S2 received " + str(tib)+" from Server One")

    arrive = env.now

    with s2_counter.request() as req:
        results = yield req
        wait = env.now - arrive
        yield env.timeout(tib)

        s2_totalQueueLength = s2_totalQueueLength + len(s2_counter.queue)
        s2_sumWaitingTime = s2_sumWaitingTime + wait

        if i > 0:
            print("Server 2: average queue length = " + str(s2_totalQueueLength / i) + " average waiting time = " + str(
                s2_sumWaitingTime / i))

        file2.write(str(wait)) + "\n")


random.seed(RANDOM_SEED)
env = simpy.Environment()

file1 = open("c1.csv", "w")
file1.write("Waiting_time" + "\n")

file2 = open("c2.csv", "w")
file2.write("Waiting_time" + "\n")

# Start processes and run
s1_counter = simpy.Resource(env, capacity=1)
s2_counter = simpy.Resource(env, capacity=1)
env.process(generator(env, NEW_REQUEST, s1_counter, s2_counter))
env.run()