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Jbar402 08-12-2016 11:11 PM

Clustering Hardware Resources with a GUI
 
I'm trying to find a way to cluster 10 computers together. The main goal in this is to share hardware resources. I would like to find a way to do this and keep a GUI so I can run just basic programs or use it for virtrulazion. Any suggestions will be helpful.
Thank You

24x7servermanagement 08-13-2016 12:21 AM

If you are willing to go with 10 computers then you may go with blade servers instead.

Blade servers are powerfull and can be use for virtulization.

Read more : wiki

Habitual 08-13-2016 06:32 AM

Quote:

Originally Posted by Jbar402 (Post 5590133)
share hardware resources.

It's called Distributed Computing, check http://www.openstack.org/ also.

dyasny 08-14-2016 10:10 AM

"share hardware resources" means absolutely nothing. Describe what you want to be able to do if you want meaningful suggestions

jefro 08-15-2016 02:37 PM

In a simple answer, you can't. (well, you can't with any simple means I mean)

There are ways to share resources but they are not easy and so far, they don't relate to common tasks.

Sun (Oracle) used to have a way to share processing on almost any platform if you had one of their higher end systems to control it all. Neat deal but didn't take off that I know of.

You can look at something like Rocks cluster for maybe the most usable for home users.

The only other way is to share the hard drives but what you are asking is to share ram and cpu I suspect.

At work we run a small system of about 45 Red Hat computers that have a one of a kind program on it to pass off workloads to the client computers. It is purpose built for only one task.

dyasny 08-15-2016 02:52 PM

There is a __way__ to share resources, but "sharing resources" can be defined in more ways than one. If you want to build a 20 core VM on a set of 5 4 core hosts - that's not possible. If you want to share the cores in a single machine between several virtual machines - that's definitely possible. Combine storage together - possible; parallelize a large task into lots of small portions, and schedule the portions on different computational platforms - definitely possible.

In short, describe what it is you want to do if you want a real answer.


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