Any major research institution has a substantial number of computer systems on its campus, often in the scale of tens of thousands. Given that a large amount of scientific computing is appropriate for execution in an opportunistic environment, a campus grid is an inexpensive way to build a powerful computational resource. What is missing, though, is a model for making an informed decision on the cost-effectives of a campus grid. In this thesis, the author describes a model for measuring the costs and benefits of building a campus computing resource based on the institution’s existing investment in computing hardware.

For this study, the author calculates the usable capacity of a campus environ- ment, and based on TCO data for Purdue University’s campus grid, presents a model for calculating the base cost for a core-hour of computation in the campus grid.


grid computing, condor, IT costs, cloud computing

Date of this Version




Department Head

Gary Bertoline

Month of Graduation


Year of Graduation



Master of Science

Head of Graduate Program

Gary Bertoline

Advisor 1 or Chair of Committee

Jeffrey J. Evans

Advisor 2

Carol X. Song

Advisor 3

Kevin C. Dittman