Using a hybrid platform for cluster, network of workstations and GRID computing

dc.contributor.author	Κεχαγιάς, Δημήτριος	el
dc.contributor.author	Γρίβας, Μιχάλης	el
dc.contributor.author	Πάντζιου, Γραμματή Ε.	el
dc.date.accessioned	2015-05-08T19:24:51Z
dc.date.available	2015-05-08T19:24:51Z
dc.date.issued	2015-05-08
dc.identifier.uri	http://hdl.handle.net/11400/9991
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://facta.junis.ni.ac.rs/	en
dc.subject	Beowulf clusters
dc.subject	noW
dc.subject	dynamic cluster
dc.subject	GRID
dc.subject	computer science course
dc.subject	δυναμικό σύμπλεγμα
dc.subject	Μάθημα πληροφορικής
dc.title	Using a hybrid platform for cluster, network of workstations and GRID computing	en
heal.type	journalArticle
heal.classification	Science
heal.classification	Mathematics
heal.classification	Higher education
heal.classification	Επιστήμες
heal.classification	Μαθηματικά
heal.classification	Εκπαίδευση, Ανώτατη
heal.classificationURI	http://zbw.eu/stw/descriptor/15685-2
heal.classificationURI	http://zbw.eu/stw/thsys/70269
heal.classificationURI	http://skos.um.es/unescothes/C01791
heal.classificationURI	N/A-Επιστήμες
heal.classificationURI	N/A-Μαθηματικά
heal.classificationURI	N/A-Εκπαίδευση, Ανώτατη
heal.language	en
heal.access	free
heal.publicationDate	2005-08
heal.bibliographicCitation	KEHAGIAS, D., GRIVAS, M. & PANTZIOU, G.E. (2005). Using a hybrid platform for cluster, network of workstations and GRID computing. International Journal of FACTA UNIVERSITATIS (series: Electronics and Energetics). [Online] 18 (2). p.205-218. Available from: http://facta.junis.ni.ac.rs/	en
heal.abstract	: Clusters, Networks of Workstations (NoW) and Grids offer a new, highlyavailable and cost-effective parallel computing paradigm. Their simplicity, versatility and unlimited power made them a rapidly adopted technology. It seems that they form the new way of computing. Although these platforms are based on the same principles, they differ significantly, needing special attention to their characteristics. Future computer scientists, programmers and analysts have to be well prepared, both about administrative and programming issues, in order to ensure faster and smoother transition. We present the architecture of a dynamic clustering system consisting of Beowulf class clusters and NoW, as well as our experience from constructing and using such a system, as an educational infrastructure for HPC.	en
heal.publisher	FACTA UNIVERSITATIS (NIS)	en
heal.journalName	FACTA UNIVERSITATIS (series: Electronics and Energetics)	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true