By Topic

Design and Implementation of a Menu Based OSCAR Command Line Interface

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Bland, W. ; Comput. Sci. & Math. Div., Oak Ridge Nat. Lab., Oak Ridge, TN ; Naughton, T. ; Vallee, G. ; Scott, S.L.

The open source cluster application resources (OSCAR) toolkit is used to build and maintain HPC clusters. The OSCAR cluster installer provides a graphical user interface (GUI) "wizard" that directs the user through the installation process. This GUI is useful for general usage, but in some instances a more basic interface is desirable. Therefore, a command line interface (CLI) has been developed for the OSCAR installer. Through the CLI, the OSCAR installer is better equipped to support scripting, which aids more advanced testing scenarios and helps in cluster replication. Additionally, the CLI is better suited for remote installations using OSCAR. While a graphical user interface simplifies installation for occasional users, frequent users and the OSCAR developers will find the CLI beneficial. For developers, the CLI will make testing easier because it may now be scripted for automated testing. Furthermore, because the CLI creates logs of user input, the user may create an exact duplicate of a previous installation, which could be used in later rebuilds or for diagnostic purposes when reporting issues to the developers. This paper provides an overview of the design and capabilities of the OSCAR CLI along with a brief discussion of possible future work.

Published in:

High Performance Computing Systems and Applications, 2007. HPCS 2007. 21st International Symposium on

Date of Conference:

13-16 May 2007