Abstract
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.
Keywords
grid computing, condor, IT costs, cloud computing
Date of this Version
4-20-2011
Department
Technology
Department Head
Gary Bertoline
Month of Graduation
May
Year of Graduation
2011
Degree
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
Included in
Computer and Systems Architecture Commons, Finance and Financial Management Commons, Other Computer Sciences Commons, Technology and Innovation Commons