What is the specific situation you're trying to deal with, and what exactly are you referring to when you say maximum performance?
Another person recently asked about how to implement QoS in a heavily oversubscribed environment, for example. If, even during the times when the network is overburdened, there is always at least enough bandwidth to handle the high priority latency sensitive data (possibly a big assumption), I suggested the possibility of monitoring a steady ping to see when the buffers fill and the ping value skyrockets. At that time, a QoS script could be run that would assume a lesser bandwidth rate, and hopefully slow up lower priority traffic and cause the buffer to empty in short order. In this way one might be able to maintain at least somewhat reliable level of low latency, while still trying to maximize the use of the dynamic bandwidth.... a sort of "artificial intelligence".
You could be talking about something completely different, so perhaps you could provide more information about what specific situation you are dealing with?
----- Original Message ----- From: "Gomi" <[EMAIL PROTECTED]>
To: <[EMAIL PROTECTED]>
Sent: Wednesday, December 01, 2004 8:50 AM
Subject: [LARTC] QoS with Artifficial Intelligence
Hello everyone, it is not the first time i discuss this topic here, but now
it has come the time to actually do it.
My idea is to set up a daemon to run QoS on linux, with a particularity, add
some A.I. capabilities to our system and hence, be able to change QoS
"topology" every certain time to obtain the maximum performance.
I first want to teach the system which parameters should i vary, and hence i
would like all of you to tell me, which do you think i should change.
Any ideas? Anybody is welcome to join!! :)
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