Sorry michael, i also sent this to you. It was a mistake, do not hit me. I am smaller and wear glasses
El mié, 12-11-2003 a las 19:03, Michael Loftis escribió: > well i can share summarized stats if you want, we're a small/midsize ISP > though so we have heavier mail usage than a uni...I can say that for about > 6k mailboxes we deliver about half a million to a million messages/day. > Wow, thats a whole lot. I get, from another ISP, about 40k messages for the same 6k users. Lets have a look at the messages per user per day, u just divide 750,000/6000 thats um... kill the zeroes ... 116.6 messages per user per day. Damn. A lot. I get about that too, but im in like 3 high traffic mailing lists+all the spam known to man. Well, uwash claims to IO smtp at about 7 messages per user per day... and i have a consistent ratio in two other deployments one corporate, one ISP. This is after shaving spam hits i guess.... Anyone else knows what their messages per user per day is on a monthly average? Now, before and after shaving some spam? > --On Wednesday, November 12, 2003 16:51 -0600 Alex Borges <[EMAIL PROTECTED]> > wrote: > > > Okay, here is a cool question about neat things like ye olde email farm > > in your uni. > > > > If u guys work at a university, it would be fun to know how many email > > boxes you have and how much email traffic do you get. This variables > > would be helpfull: > > > > a) Number of email I/O (bulk total, how many in, how many out) > > b) How many users u have > > > > Its a neat thing to know when youre starting to set one up yourself. For > > example, Uwash does 120k users 800k emails a day. > > > > I want to make a spreadsheet model to calculate the ammount of bandwidth > > and IOPS demanded by a maildir smtp farm depending on how many users > > there are, how many emails do they receive in a particular ammount of > > time, assuming that they are click crazy and check their email exactly > > at the time it arrives...etc. It will take into account that you have an > > IMAP farm for checking the emails and will also attempt to calculate the > > bw generated by click crazy monkeys. > > > > Ive just started making it but im worried that i will assume stupid > > things, so i wanna gather some more real data to see if its all fitting > > in. For example, i assume that all users have a workstation and are > > checking their email at the very same period where most of the email is > > arriving (thats what i call a worst case scenario). > > > > I know this will not make for a trustable model because of the > > complexity of usage prediction (can one really predict the next outlook > > worm?....mhm... yes, come to think of it, it has a probability that > > approaches 1 as time passes...:-).... that kind of thing. But i think it > > can provide some with insight modeling this kind of things. The fun part > > will be when i build a test farm just to see how crazy am i (or not?). > > > > So if anyone can/will spare some time to share this data and/or is > > interested in this kind of modeling (or know of a way that is -The Right > > Way- (TM)) take pity and post it to the list! > > > > > > > > > > -- > > To UNSUBSCRIBE, email to [EMAIL PROTECTED] > > with a subject of "unsubscribe". Trouble? Contact > > [EMAIL PROTECTED] > > > > > > > > -- > Michael Loftis > Modwest Sr. Systems Administrator > Powerful, Affordable Web Hosting > GPG/PGP --> 0xE736BD7E 5144 6A2D 977A 6651 DFBE 1462 E351 88B9 E736 BD7E -- To UNSUBSCRIBE, email to [EMAIL PROTECTED] with a subject of "unsubscribe". Trouble? Contact [EMAIL PROTECTED]
