render_GET and memory consumption

Hello,

Here's a demo HTTP server that returns 10 MB of random data each time a 
client connects.

import os
from twisted.internet import reactor
from twisted.web.server import Site
from twisted.web.resource import Resource

data = os.urandom(10*1024*1024)

class TestPage(Resource):
     isLeaf = True
     def render_GET(self, request):
         return data

root = Resource()
root.putChild('test', TestPage())
reactor.listenTCP(8880, Site(root))
reactor.run()

Now, when I run N clients simultaneously from a different host I see 
that the server's memory consumption increases by N*10 MB. I can't 
reproduce this example when running the clients from the same host as 
the server; the test goes so fast that I can't gather any useful data.

I run the test using the following httperf command on a different host 
and looking at the Gnome system monitor in the server (top will do as well).

httperf --server 192.168.1.10 --port 8880 --uri /test \
         --rate 10 --num-conn 10

When the server is idle memory consumption is 17.1 MB, but during the 
test it jumps to 117.2 MB. My questions are then:

1. Given that 'data' is a global variable, eventually read-only as well, 
why is it replicated for each request? And who is replicating it?

2, What would be the proper way to re-write this example so that there 
is one and only one 'data' structure at any time?

Thank you,

-- 
Pedro