On May 23, 4:04 am, Tim Golden <[EMAIL PROTECTED]> wrote: > Robert Rawlins - Think Blue wrote: > > > I've got an application that runs on an embedded system, the application > > uses a whole bunch or dicts and other data types to store state and other > > important information. > > I'm looking to build a small network of these embedded systems, and I'd love > > to have them all share the same set or data. Is it possible to share the > > applications variables across multiple applications, so certain lists are > > like a 'pool' written to by the different systems? I'm sure I could cobble > > something together by writing the lists to shared files instead of keeping > > them in RAM, but that feels a little inefficient. I'd like to try and > > configure some form of master/slave relationship between my applications if > > possible. > > I was really surprised you hadn't received a whole > slew of answers for this (even if they were: search > the newsgroup for the last time this was asked!) But > then I noticed that the post hadn't appeared on Google > Groups, at least. I read things via the mailing list; > is it possible your post hasn't made it across to > Usenet either? > > Just to get the ball rolling, I'd suggest two things: > > Pyro -http://pyro.sf.net > > This is actively maintained and has been going for a while. > We use it here (on a fairly small scale) and I know that > others use it elsewhere for bigger things. It's based on > a threaded socket server so whenever someone starts to say: > "I know; I'll roll my own threaded socket server", I'm > inclined to say: "Don't reinvent the wheel; try Pyro". > > PyLinda -http://www-users.cs.york.ac.uk/~aw/pylinda/ > > This implements the tuplespace paradigm. It's great > fun to use, but as far as I know this implementation > was a PhD project and lacks the robustness and wide > use of other things. That said, it works perfectly > well within its remit and might be a good match for > what you're trying to do. > > No doubt other people can chime in with suggestions > > TJG
Possibly, IPython's new interactive parallel environment is what you are looking for: http://ipython.scipy.org/moin/Parallel_Computing -- http://mail.python.org/mailman/listinfo/python-list
