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Author Brown, Richard A.
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Computer programming, programs & data
Subject Keyword Student system management ♦ Cluster computing ♦ Data-intensive scalable computing ♦ Hadoop ♦ Examples in education ♦ Beowulf ♦ Map-reduce
Abstract The potential benefits of data-intensive scalable computing (DISC) in CS education are considered in the context of a small college with an active student-operated Beowulf cluster initiative. The map-reduce computational model, of great importance in industry, is reviewed, and the Hadoop implementation of that model is connected to specific courses throughout the undergraduate CS curriculum. Concerns when running a local Hadoop-capable cluster at a small college are identified.
Description Affiliation: St. Olaf College, Northfield, MN, USA (Brown, Richard A.)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1978-02-01
Publisher Place New York
Journal ACM SIGCSE Bulletin (SGCS)
Volume Number 41
Issue Number 1
Page Count 5
Starting Page 106
Ending Page 110


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Source: ACM Digital Library