Persistent Distributed Objects

bouncyinc at bouncyinc at
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

------Original Message------
From: Laszlo Nagy <gandalf at>
To: "John Haggerty" <bouncyinc at>,"python-list (General)" <python-list at>
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 
implemented in.


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