Difference between revisions of "Openstack at MIT Overview"
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− | At MIT there are a few people working on a cluster designed to allow generic users to process data with custom software running on 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 [https://www.openstack.org 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"). | + | At MIT there are a few people (led by Jan Balewski) working on a cluster designed to allow generic users to process data with custom software running on 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 [https://www.openstack.org 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 | + | == "Reuse" cluster specs == |
− | * | + | * 27 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 == | == Data Challenge 2 == | ||
− | * Would like to include | + | * Would like to include 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 MIT perspective, this would be the first demonstration of this cluster's performance and hopefully generate some additional interest |
− | ** From the GlueX perspective, | + | ** From the GlueX perspective, this adds to the compute resources (expect to have exclusive access to ~160 cores) and explore virtualization |
Latest revision as of 07:28, 21 March 2014
At MIT there are a few people (led by Jan Balewski) working on a cluster designed to allow generic users to process data with custom software running on 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 specs
- 27 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 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, this adds to the compute resources (expect to have exclusive access to ~160 cores) and explore virtualization