Difference between revisions of "Openstack at MIT Overview"
From GlueXWiki
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* 22 Dell blades with 8 cores, 16 GB RAM, 100 GB disk | * 22 Dell blades with 8 cores, 16 GB RAM, 100 GB disk | ||
* Almost all hardware is recycled from other clusters through MIT's "reuse" program | * Almost all hardware is recycled from other clusters through MIT's "reuse" program | ||
| + | |||
| + | == Data Challenge 2 == | ||
| + | * Would like to include this in the upcoming data challenge | ||
| + | ** From the MIT perspective this would be the first demonstration of this cluster's performance and hopefully generate some additional interest | ||
| + | ** From the GlueX perspective, would add to the total compute resources (expect to have exclusive access to ~200 cores) and explore virtualization | ||
Revision as of 08:01, 6 February 2014
At MIT there are a few people working on a cluster designed to allow users to process data with software running on custom virtual machine images instead of directly installing the software on the nodes like a typical cluster. This is geared toward a flexible computing model via virtualization and the technology being used is called Openstack. I've installed GlueX software on a VM and deployed it on this cluster which has shown good results thus far (<5% different from running on "bare metal").
Reuse cluster (current) specs
- 22 Dell blades with 8 cores, 16 GB RAM, 100 GB disk
- Almost all hardware is recycled from other clusters through MIT's "reuse" program
Data Challenge 2
- Would like to include this in the upcoming data challenge
- From the MIT perspective this would be the first demonstration of this cluster's performance and hopefully generate some additional interest
- From the GlueX perspective, would add to the total compute resources (expect to have exclusive access to ~200 cores) and explore virtualization
