Keywords
grid resource management, DOGMA-NG, supercomputing
Abstract
As the Internet began its exponential growth into a global information environment, software was often unreliable, slow and had difficulty in interoperating with other systems. Supercomputing node counts also continue to follow high growth trends. Supercomputer and grid resource management software must mature into a reliable computational platform in much the same way that web services matured for the Internet. DOGMA The Next Generation (DOGMA-NG) improves on current resource management approaches by using tested off-the-shelf enterprise technologies to build a robust, scalable, and extensible resource management platform. Distributed web service technologies constitute the core of DOGMA-NG’s design and provide fault tolerance and scalability. DOGMA-NG’s use of open standard web technologies and efficient management algorithms promises to reduce management time and accommodate the growing size of future supercomputers. The use of web technologies also provides the opportunity for a new parallel programming paradigm, enterprise web services parallel programming, that also gains benefit from the scalable, robust component architecture.
Original Publication Citation
An Enterprise Based Grid Resource Management System, Quinn Snell, Kevin Tew, Joseph Ekstrom, Mark Clement. Proceedings of the Eleventh IEEE International Symposium on High Performance Distributed Computing (HPDC-11), Edinburgh, Scotland, July 22, pages 83-9.
BYU ScholarsArchive Citation
Clement, Mark J.; Ekstrom, Joseph; Snell, Quinn O.; and Tew, Kevin B., "An Enterprise-Based Grid Resource Management System" (2002). Faculty Publications. 538.
https://scholarsarchive.byu.edu/facpub/538
Document Type
Peer-Reviewed Article
Publication Date
2002-07-01
Permanent URL
http://hdl.lib.byu.edu/1877/2573
Publisher
IEEE
Language
English
College
Physical and Mathematical Sciences
Department
Computer Science
Copyright Status
© 2002 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Copyright Use Information
http://lib.byu.edu/about/copyright/