Access Restriction

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

Open content in new tab

   Open content in new tab
Source: ACM Digital Library