Scalable desktop grid system

Péter Kacsuk, Norbert Podhorszki, Tamás Kiss

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

Desktop grids are easy to install on large number of personal computers, which is a prerequisite for the spread of grid technology. Current desktop grids connect all PCs into a flat hierarchy, that is, all computers to a central server. SZTAKI Desktop Grid starts from a standalone desktop grid, as a building block. It is extended to include clusters displaying as single powerful PCs, while using their local resource management system. Such building blocks support overtaking additional tasks from other desktop grids, enabling the set-up of a hierarchy. Desktop grids with different owners thus can share resources, although only in a hierarchical structure. This brings desktop grids closer to other grid technologies where sharing resources by several users is the most important feature.

Original languageEnglish
Title of host publicationHigh Performance Computing for Computational Science - VECPAR 2006 - 7th International Conference, Revised Selected and Invited Papers
PublisherSpringer Verlag
Pages27-38
Number of pages12
ISBN (Print)9783540713500
DOIs
Publication statusPublished - Jan 1 2007
Event7th International Meeting on High-Performance Computing for Computational Science, VECPAR 2006 - Rio de Janeiro, Brazil
Duration: Jun 10 2006Jun 13 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4395 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th International Meeting on High-Performance Computing for Computational Science, VECPAR 2006
CountryBrazil
CityRio de Janeiro
Period6/10/066/13/06

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Kacsuk, P., Podhorszki, N., & Kiss, T. (2007). Scalable desktop grid system. In High Performance Computing for Computational Science - VECPAR 2006 - 7th International Conference, Revised Selected and Invited Papers (pp. 27-38). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4395 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-540-71351-7_3