by Jonas Bardino
Grid computing was all the buzz in the beginning of the millennium and
still has serious attention in different forms although many of the
original grand promises were never delivered. The general level of
ambitions have instead slowly but steadily degraded to those of the
latest buzz word, Cloud.
We as a project have proven that most of the original promises *can*
actually be delivered and we have done so using Python almost solely as
the implementation language.
The choice of Python provided us with a stable and versatile base for
quickly getting this far and it significantly eases extending and
maintaining our middleware in the future.
MiG is currently about 50000 lines of source code but it still offers
more features than competing grid systems with millions of lines of
code.
Apart from introducing the open source MiG middleware and summarizing how we got here, this talk will outline some of the core technologies used to reach
that goal and underline why it can make a lot of sense to choose Python for
complex HPC projects like MiG, too.
Talk keywords include Network Programming, Open Source Python projects, Science and Math and Web-based Systems. There's no special intended audience, but a certain level of Python knowledge and experience may be an advantage.
Please refer to http://code.google.com/p/migrid/ for further MiG information.