The BOINC out-of-box experience for scientists

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Profile David Anderson
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Message 94010 - Posted: 4 Dec 2019, 23:44:22 UTC
Last modified: 12 Feb 2020, 22:44:04 UTC

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boboviz
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Message 94018 - Posted: 5 Dec 2019, 8:41:53 UTC - in response to Message 94010.  

A first step maybe to update this
Mary will have a ready-to-start (and updated) server to begin to understand the boinc enviroment.
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boboviz
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Message 94422 - Posted: 20 Dec 2019, 14:48:50 UTC

No answer to my message.
Is not a good idea to update the "ready-to-go" server?
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MissingLink

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Message 94427 - Posted: 20 Dec 2019, 19:31:43 UTC - in response to Message 94010.  

Don't underestimate the potential of VirtualBox with self-updating features. If you run Ubuntu (or whatever flavor of Linux is preferred), you just need a computer with enough resources. Then within the VM, all the configuration is 95% done and it is just the unique features of the project that needs to be set up. I think that is way easier than docker or installing packages. Just abstract all that away with a VM. Docker is certainly more resource efficient, but we're after OOBE experience not running multiple Docker instances on a single server.
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boboviz
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Message 94509 - Posted: 24 Dec 2019, 15:21:48 UTC - in response to Message 94427.  
Last modified: 24 Dec 2019, 15:22:44 UTC

Don't underestimate the potential of VirtualBox with self-updating features. If you run Ubuntu (or whatever flavor of Linux is preferred), you just need a computer with enough resources.

If you update the server Vm that i linked above, you have a lot of problems, cause a lot of thing has changed (for example MariaDb instead MySql).
We are speaking about researchers that don't know Boinc and how to use it!
So a new ready-to-go server image (and updated documentations) will be welcome to new scientists.
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ProDigit

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Message 96045 - Posted: 24 Feb 2020, 23:37:50 UTC - in response to Message 94427.  

Don't underestimate the potential of VirtualBox with self-updating features. If you run Ubuntu (or whatever flavor of Linux is preferred), you just need a computer with enough resources. Then within the VM, all the configuration is 95% done and it is just the unique features of the project that needs to be set up. I think that is way easier than docker or installing packages. Just abstract all that away with a VM. Docker is certainly more resource efficient, but we're after OOBE experience not running multiple Docker instances on a single server.

I prefer not to use a VM on servers that crunch Boinc projects continuously, but run it from Linux natively.
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Message boards : News : The BOINC out-of-box experience for scientists

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