09-26-2014
This answer I've been waiting, but please do not get me wrong, I'm thankful for that.
Of course I'm a beginner in this topic, because of that I try to carry Information about it.
I'm aware that there is no general statement to give, when I asked "how to build a cluster".
It don't have to be a cluster for thousands of people with just more than 500 nodes, just for institut (15 - 20 user). But before it can be built, used .... Someone have to inform. And this is my part. I'm searching for sources to inform, unfortunately there are less sources, respectively I don't find them.
My intention is to begin at point zero of the hpc-topic and then to make gradually steps to the wright direction. For that I have hardware to test to build a "little" cluster to get first experience.
The goal of the entire project is to decide, whether to built the needed cluster on my own. As always, the point is to save costs.
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LEARN ABOUT DEBIAN
ditrack
DITRACK(1) General Commands Manual DITRACK(1)
NAME
dt - DITrack command line client tool
SYNOPSIS
dt command [options] [args]
dt-createdb repository-url issue-db-dir local-wc
dt-upgrade-0.7-db issue-db-dir
OVERVIEW
DITrack is a free, open source, lightweight, distributed issue (bug, defect, ticket) tracking system using a Subversion repository instead
of a backend database. It is written in Python and runs in UNIX environment (*BSD, Linux, MacOS X).
The project is inspired by the idea of Subissue issue tracking system.
However, while Subissue aims in merely replacing the traditional database storage with Subversion repository, DITrack is a major rethought
of the issue tracking system paradigm. The main difference is that instead of sticking to the centralized model (one database, one web
interface, one mail integration machinery), DITrack treats underlying Subversion storage as a versioned distributed file system which
enables benefits of truly distributed operation mode.
For more information about the DITrack project, visit http://www.ditrack.org.
Documentation for DITrack and its tools, including detailed usage explanations of the dt and dt-createdb programs, can be found at
/usr/share/doc/ditrack/html/index.html.
Run `dt help' to access the built-in tool documentation.
Automatic upgrade is possible for databases created by DITrack 0.7. If you are upgrading from previous version of DITrack, use the upgrage
utility from DITrack 0.7 first.
To upgrade a database run the dt-upgrade-0.7-db script, passing the database path as the argument, like:
dt-upgrade-0.7-db /home/user/ditrack-database
The upgrade procedure merely modifies the working copy (nothing gets committed to the repository). So, when done, you should commit the
changes manually.
April 2007 DITRACK(1)