Persistent Distributed Objects
bouncyinc at gmail.com
bouncyinc at gmail.com
Sat Oct 10 05:39:07 CEST 2009
Sorry about being interpreted as being vague. `et me try to narrow it down. program a creates objects b c d which each need to use 1 disk space 2 ram 3 processor time. I would like to create a heckpoint which would save the work of the object to be later used and then delete it from memory [which I assume from reading about them implimented elsewhere is more or less how they work]. The other part would be to assign the objects via a network depending on the number of network machines. I.e. suppose b c and d see machines e f g on a network they can send those machines objects b c and d and have any work saved on the main machine or local ones. What I was wondering is how would I do that in python. The arbitrary part could be no more complicated than a program where b is calculating a list of prime numbers from x to infinity c is just a notepad program and d is a program that prints say the size of the file as youi type it and says " I like writing a poem of [bytes big] while my computer foun ou that [new prime] is the biggest on [machines #] computers. Rmi supposedly does this for the distribuited part. Object persistence does this for saving to the best of what I`ve seen nothing distributes and saved at the same time. Does that help?
The death of one man is a tragedy. The death of ten million is a statistic--- Joseph Stalin
From: Laszlo Nagy <gandalf at shopzeus.com>
To: "John Haggerty" <bouncyinc at gmail.com>,"python-list (General)" <python-list at python.org>
Date: Fri, 9 Oct 2009 09:18:12 PM +0430
Subject: Re: Persistent Distributed Objects
> I've seen evidence about this being done wrt what looks like insanely
> complex stuff on this list but I'm wondering if there is something to
> do this with any number of nodes and just farm out random
> classes/objects to them?
Designing and opreating distributed systems is a complex thing.
Especially if you do not want to specify an exact problem domain that
you needed to solve - then you need to design a distributed system that
is able to solve general problems. It is very complex, and - at least to
my knowledge - there is no efficient solution out of the box. This is
not Python specific. It would be a hard task just to design how that
system should work, regardless of the computer language it is
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