Dear BESSIG folks:
I'm looking for tools to organize the data processing for
an atmospheric research instrument: perhaps a "batch
queue manager", "resource manager" or "scientific
One recommendation has been:
- the Maui scheduler, which runs on the
- Torque resource manager, a fork of the
- Portable Batch Manager (PBM)
There was also a recommendation for "gridengine".
Do you have thoughts or personal experience with this
or any competing systems?
We have four Linux boxes--dual quad-core Xeon systems
running Scientific Linux. The team is small: a few
developers and scientists.
We use cron and Perl scripts to launch the jobs today.
This works for us, but the CPU utilization is not as
high as I would like and the system is hard to understand
and manage. The system is big enough that is has grown
complex, but this is not what I would call high-performance
There ought to be a better way. This is a well-studied
problem and I expect there are some standard solutions.
- relatively simple to install and experiment with; we
cannot afford to make this a large project
- scheduling based on priority and resource availability:
- ability to monitor and manage the queue
- distribute jobs to multiple compute servers
- command-line interface for ease of integration
- modular/light-weight enough to be adapted to our existing
I'd be grateful for any comments or suggestions.
SIPS Operations Manager - HIRDLS Project
Data Manager - MOPITT Project
National Center for Atmospheric Research
3090 Center Green Drive., Boulder, CO 80307
Phone: +1 303-497-8077