Hi Duane-
I'm running a system that dynamically creates about 10 engines w/
approximately 50 rules a piece that communicate with each other and a
bayes net through a java interface. The jess engines have never been a
performance hog/memory hog on my P2 266MHz w/ 64M of memory. Obviously
your performance will vary depending upon hardware/rule complexity,
etc. BTW, if you are running in windows the latest version of JDK
(i.e., 1.1.7) claims to have made some performance improvements.
Have fun,
PB
Duane Morin wrote:
>
> Ok, the system I've built is thus:
> a fact "sentence" is asserted that contains a sentence (for example,
> "tell me about 401k plans")
> rules fire
> as a result, facts are asserted that refer to product-specific concepts
> that I have been able to extract from the sentence (in this case,
> (match (concept KEYWORD)(type RETIREMENT-PLAN))
> (match (concept PRODUCT)(type 401K))
>
> I then use regular Java to grab these match facts and act accordingly.
>
> Well, this is a web-based service. So many people are gonna hit it at once.
> I'm currently looking into how to best implement the engine so that I
> don't just have n copies of it running around.
>
> Can someone give me a brief lesson (or tell me where I can get one) on
> exactly what sort of memory performance Jess has? If I have 3 rete
> engines running around my memory space, is taht going to decimate it?
> What if I had 30 engines?
>
> For the record, we're talking about what I think is a relatively small
> ruleset - less than 200 rules (probably ALOT less). Also, the number
> of simultaneous users will probably not exceed a dozen. So what I'm
> thinking about is setting up a connection pool to a handful of engines
> (like maybe 3-5) and if it's necessary, just queue people's requests to
> use them. Part of this, too, is gonna be how long a request takes to
> finish, and I don't have that info yet. Right now it takes like 5 seconds,
> but that's on a slow box with non-optimized code.
>
> Duane
>
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