I am running squid 3.2. I started with this so I could use the random acl to "load balance" requests across 20 outgoing IP addresses. I definitely got that working, but what I found was that the randomness across the 20 IP's wasn't very even;y distributed. So I opted to setup the more complex cache peer configuration using round robin so it would be equally distributed. I now have that working and when I test this I get some interesting results. I basically have a php script that connects and requests another php script that checks the ip address and feeds the result back to the main script. If I set this to run 100 times, the ip's are equally distributed. This is the same all the way up to about 900 runs. Once you hit that sweet spot, between 800 and 900, the distribution becomes slightly uneven. By a very small percentage, but uneven still. What is causing this? I am scratching my head because it's not like one of the peers stops accepting connections completely, otherwise the results would be more off. I have it setup so that there is a main squid instance listening on a public ip and port. Then I have a second squid instance listening on an internal port for the 20 ip's. I origionally tried to setup squid so that the same instance provided both the parent and child peers, but the acl's for that become to complex to manage efficiently. Any help would be greatly appreciated. Matt
