Title:
The Performance Characteristics of MapReduce Applications on Scalable Clusters
Authors:
Wottrich, Kenneth; Bressoud, Thomas
Publisher:
Denison University
DATE ISSUED:
19-Nov-2011
PERMANENT LINK:
http://hdl.handle.net/2374.DEN/3576; http://hdl.handle.net/2374
Type:
Article
Language:
en_US
Description:
Many cluster owners and operators have begun to consider MapReduce as a viable processing paradigm for its ability to address immense quantities of data. However, the performance characteristics of MapReduce applications on large clusters are generally unknown.
Appears in Collections:
Proceedings: 2011 Midstates Conference for Undergraduate Research in Computer Science and Mathematics

Full metadata record

DC FieldValue Language
dc.contributor.authorWottrich, Kennethen
dc.contributor.authorBressoud, Thomasen
dc.coverage.spatialUSA - Ohio - Licking - Granvilleen_US
dc.date.accessioned2012-08-14T15:21:04Zen
dc.date.accessioned2013-12-18T22:13:27Z-
dc.date.available2012-08-14T15:21:04Zen
dc.date.available2013-12-18T22:13:27Z-
dc.date.created2011-11-19en
dc.date.issued2011-11-19en
dc.identifier.urihttp://hdl.handle.net/2374.DEN/3576en
dc.identifier.urihttp://hdl.handle.net/2374-
dc.descriptionMany cluster owners and operators have begun to consider MapReduce as a viable processing paradigm for its ability to address immense quantities of data. However, the performance characteristics of MapReduce applications on large clusters are generally unknown.en_US
dc.language.isoen_USen_US
dc.publisherDenison Universityen_US
dc.relation.ispartofProceedings of the 2011 Midstates Conference on Undergraduate Research in Computer Science and Mathematicsen_US
dc.titleThe Performance Characteristics of MapReduce Applications on Scalable Clustersen_US
dc.typeArticleen_US
dc.contributor.institutionDenison Universityen_US
dc.contributor.repositoryDenison DRCen_US
dc.publisher.digitalDenison Universityen_US
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