On 10 oct, 05:39, "bouncy...@gmail.com" <bouncy...@gmail.com> wrote: > 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?
Did you have a look on Zope and ZEO ? It could be interesting. http://www.zope.org/Documentation/Books/ZopeBook/2_6Edition/ZEO.stx br, Olivier -- http://mail.python.org/mailman/listinfo/python-list
