If Google can keep things in Beta, why can't we? So.. beware... Things might break. Please join the mailing list and report any glitches that you come across.
It was recently decided that having a split personality is not the best thing to have in a cluster as two different resource managers start to compete while not being aware of each other. That is why we have separated our cluster into a Compute cluster and a Hadoop cluster. Read on for more about the two.
There is a mailing list for all those interested in what is currently happening with the cluster and the configuration of the cluster:
List address: firstname.lastname@example.org
Manage your subscription: https://mailman.stanford.edu/mailman/listinfo/ilcluster
The compute cluster comes in handy whenever you need a lot of cores to get your job done. It is just like looking at the CPU and memory load of the other servers and then deciding which one to use for your job, only the job schedule will take care of looking at the CPU load for you and schedule the resources on a first come first serve basis (at least for the time being, queue priorities may change in the future).
- 1 head node: ilhead1
- 27 compute nodes: iln1 - iln28 (iln25 currently offline)
- 768 CPU cores
- 1728 GB RAM
- Torque resource manager
- MAUI job scheduler
- CentOS 6.3
If you want to run map/reduce jobs then this is the cluster for you.
- 1 head node: ilhadoop1
- 39 nodes: ilh01 - ilh40 (ilh19 currently offline)
- 312 CPU cores
- 2496 GB RAM
- 312 TB raw storage
- Cloudera CDH 5.4.2
- CentOS 6.3