Data Visualization and Analysis of CIC Graduate Student TeraGrid Resource Usage

Author

Johnson, Erik ; Wah, Elaine

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Illinois at Urbana-Champaign, Urbana, IL

fYear

2008

fDate

7-12 Dec. 2008

Firstpage

354

Lastpage

355

Abstract

The computing resources of the TeraGrid are a powerful tool for research by graduate students throughout the world. In this paper we analyze the usage of the TeraGrid by a sample of 876 graduate students from the institutions that form the Committee on Institutional Cooperation. We investigate demographic information and usage of TeraGrid resources and present visualizations. We also analyze the sample using data mining algorithms, specifically rule association learning and hierarchical clustering, and create interactive visualizations. This work reveals interesting patterns about the research done by graduate students on the TeraGrid and the resources they use.

Keywords

data mining; data visualisation; grid computing; learning (artificial intelligence); pattern clustering; resource allocation; CIC graduate student; Committee on Institutional Cooperation; TeraGrid resource usage; data mining algorithm; data visualization; demographic information; hierarchical clustering; rule association learning; Algorithm design and analysis; Clustering algorithms; Computer science; Data analysis; Data mining; Data visualization; Demography; Power engineering computing; Statistics; Supercomputers; TeraGrid; data mining; visualization;

fLanguage

English

Publisher

ieee

Conference_Titel

eScience, 2008. eScience '08. IEEE Fourth International Conference on

Conference_Location

Indianapolis, IN

Print_ISBN

978-1-4244-3380-3

Electronic_ISBN

978-0-7695-3535-7

Type

conf

DOI

10.1109/eScience.2008.155

Filename

4736793