Python multiprocessing Pool.apply_async with shared variables (Value)

Question

For my college project I am trying to develop a python based traffic generator.I have created 2 CentOS machines on vmware and I am using 1 as my client and 1 as my server ma

Answer 1

Possibly, because Python Multiprocess diff between Windows and Linux (I seriously, don't know how multiprocessing works in VMs, as is the case here.)

This might work;

import multiprocessing
import random
import myurllist    #list of all destination urls for all 10 servers
import time

def send_request3(response_time, error_count):    #function to send requests from alias client ip 1
    opener=urllib2.build_opener(socbindtry.BindableHTTPHandler3)    #bind to alias client ip1
    try:
        tstart=time.time()
        for i in range(myurllist.url):
            x=random.choice(myurllist.url[i])
            opener.open(x).read()
            print "file downloaded:",x
            response_time.append(time.time()-tstart)
    except urllib2.URLError, e:
        error_count.value=error_count.value+1
def send_request4(response_time, error_count):    #function to send requests from alias client ip 2
    opener=urllib2.build_opener(socbindtry.BindableHTTPHandler4)    #bind to alias client ip2
    try:
        tstart=time.time()
        for i in range(myurllist.url):
            x=random.choice(myurllist.url[i])
            opener.open(x).read()
            print "file downloaded:",x
            response_time.append(time.time()-tstart)
    except urllib2.URLError, e:
        error_count.value=error_count.value+1
#50 such functions are defined here for 50 clients
def func():
    m=multiprocessing.Manager()
    response_time=m.list()    #some shared variables
    error_count=multiprocessing.Value('i',0)

    pool=multiprocessing.Pool(processes=750)
    for i in range(5):
        pool.apply_async(send_request3, [response_time, error_count])
        pool.apply_async(send_request4, [response_time, error_count])
        # pool.apply_async(send_request5)
#append 50 functions here
    pool.close()
    pool.join()
    print"All work Done..!!"
    return


start=float(time.time())
func()
end=float(time.time())-start
print end