You're really serious? Hmm... okay.
As far as giving any specific help, the last time I worked with neural net software was in college which was... um.. over 12 years ago. So I really have no idea what the latest available software for doing something like this is. Sorry.
From a theoretical perspective I'll say this: as a research project I thinkyou could get interesting results by trying out something along the lines of having the neural net vary parameters and receive positive or negative feedback based on the latency, throughput or something like that. By "interesting" I mean exactly that... interesting but not necessarly useful. I'd hate to be the one who has to suffer through using a network that is in training mode. And while there may be patterns that a neural net could learn, I'm not sure how well the neural net would move from reacting to conditions to actually anticipating conditions. And to the extent that it ever did correctly anticipate certain conditions, what would be the cost of incorrect guesses..? I suppose it all depends on how predictable the activity on a particular network is.
My one practical thought is this: I'd try to shorten the feedback loop considerably. Every minute or so is, I'd guess, way too long. I'd go for every 10 seconds or so if possible.
Anyway, guess I'm saying its a "neat idea" but I'm not personally interested in pursuing it. Good luck. Try it out.. write a paper, become famous.
----- Original Message ----- From: "Gomi" <[EMAIL PROTECTED]>
To: "Chris Bennett" <[EMAIL PROTECTED]>; <"lartc@mailman.ds9a.nl"@alpha.symbio.com>
Sent: Tuesday, December 21, 2004 8:04 AM
Subject: Re: [LARTC] QoS with Artifficial Intelligence
I was actually thinking in every minute or so, read statistics from queues, and SNMP from dsl routers for example, and vary the queues bandwith, their limit, their queuelenght or even the burst and cburst.
I was actually thinking in implementing a neuronal network to do so, what do
you think?
--------- Mensagem Original -------- De: Chris Bennett <[EMAIL PROTECTED]> Para: lartc@mailman.ds9a.nl <lartc@mailman.ds9a.nl> Asunto: Re: [LARTC] QoS with Artifficial Intelligence Fecha: 20/12/04 23:44
"teach" the
I'm not sure what you mean by AI. I suppose you could mean that you're going to feed various QoS parameters into a neural net andneural net to vary the parameters according to conditions... but somehow I
think it unlikely that this is what you mean.
_______________________________________________ LARTC mailing list / LARTC@mailman.ds9a.nl http://mailman.ds9a.nl/mailman/listinfo/lartc HOWTO: http://lartc.org/
