Home ›

Gnu Queue: Linux Clustering Made Easy

Issue 79

From Issue #79
November 2000

Nov 01, 2000  By W. G. Krebs
 in
Farm those jobs out with Gnu queue!
Getting Help

If you encounter problems with installation not explained here, you may wish to check out the support forum and support mailing list, available off GNU Queue's home page, http://www.gnuqueue.org/. Bugs should be reported to bug-queue@gnu.org.

Farm out that Job!

So remember: the next you have a quick and dirty job to run, don't waste time or resources. Farm that sucker out using GNU Queue!

W. G. Krebs is a PhD candidate in molecular biophysics and biochemistry at Yale University, where he researches web-based biological databases. He has been a systems programmer for longer, and in more languages, than he cares to relate. His wide-ranging interests include political economics, classical and folk music, and the Chinese game of Go; he welcomes your comments at wkrebs@gnu.org or by snail mail c/o Linux Journal.

______________________

Comments

Comment viewing options

Select your preferred way to display the comments and click "Save settings" to activate your changes.

cluster

abner's picture
Submitted by abner (not verified) on Fri, 05/22/2009 - 12:48.

me podria ayudar a configurar un cluster en linux, los pasos a seguir

alternative to GNU Queue

Roger's picture
Submitted by Roger (not verified) on Sun, 01/01/2006 - 22:41.

Beware that this is a pre-alpha release. The original GNU Queue code hadn't been supported in some time - the project was restarted last summer with a new re-write which is this current release. I would therefore be leery using this current code for anything more than experimentation, certainly not in a production environment.

An alternative, also free and open source, is Sun's Grid Engine project (http://gridengine.sunsource.net/). It works on Linux, Solaris, Windows, Mac OS X, and probably most versions of Unix. Grid Engine is probably an order of magnitude more complex to configure than GNU Queue but it has many more capabilities. For your home computer network it is undoubtedly overkill but for any other environment it is seriously worth considering.

White Paper
More Resources
Fabric-Based Computing Enables Optimized Hyperscale Data Centers

Today’s modular x86 servers are compute-centric, designed as a least common denominator to support a wide range of IT workloads. Those generic, virtualized IT workloads have much different resource optimization requirements than hyperscale and cloud applications. They have resulted in a “one size fits all” enterprise IT architecture that is not optimized for a specific set of IT workloads, and especially not emerging hyperscale workloads, such as web applications, big data, and object storage. In this report, you will learn how shifting the focus from traditional compute-centric IT architectures to an innovative disaggregated fabric-based architecture can optimize and scale your data center.

Learn More

Sponsored by AMD

White Paper
More Resources
Red Hat White Paper: Using an Open Source Framework to Catch the Bad Guy

Built-in forensics, incident response, and security with Red Hat Enterprise Linux 6

Every security policy provides guidance and requirements for ensuring adequate protection of information and data, as well as high-level technical and administrative security requirements for a system in a given environment. Traditionally, providing security for a system focuses on the confidentiality of the information on it. However, protecting the data integrity and system and data availability is just as important. For example, when processing United States intelligence information, there are three attributes that require protection: confidentiality, integrity, and availability.

Learn more about catching the bad guy in this free white paper.

Learn More

Sponsored by DLT Solutions