Hadoop at home: large-scale computing at a small college

Authors:
Richard A. Brown
Affiliations:
St. Olaf College, Northfield, MN, USA
Venue:
Proceedings of the 40th ACM technical symposium on Computer science education
Year:
2009

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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.