[LARTC] QoS with Artifficial Intelligence
Chris Bennett
chris@symbio.com
Wed, 22 Dec 2004 11:42:24 -0600
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 think
you 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" <gomi@perezoso.net>
To: "Chris Bennett" <chris@symbio.com>;
<"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 <chris@symbio.com>
> Para: lartc@mailman.ds9a.nl <lartc@mailman.ds9a.nl>
> Asunto: Re: [LARTC] QoS with Artifficial Intelligence
> Fecha: 20/12/04 23:44
>
>>
>> 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 and
> "teach" the
>> neural net to vary the parameters according to conditions... but somehow
>> I
>> think it unlikely that this is what you mean.