Cloud computing, Operating systems (Computers) -- Evaluation, Data envelopment analysis, R (Computer program language), Operations research
This paper covers our exploration into using linear programming to rank the effectiveness of cloud computing options. This paper also serves a culminating group project in a graduate level operations research class at Portland State University. Our primary method was Data Envelopment Analysis using R. We were given a dataset by Dr. Lane Inman, a former student in this class, and head of product development at Krystallize, a startup specializing in assessing cloud computing providers. The data table we were given contains performance metrics obtained by Krystallize while testing available cloud service options offered through Google Cloud, Microsoft Azure, AWS, and SoftLayer. What follows is our process and the significant insights we found.
Parikh, Munisha; Raj, Sanjai; Muhly, Mary; Sogal, Ambica; and Bramblett, William, "Benchmarking Cloud Computing Options Using DEA" (2019). Engineering and Technology Management Student Projects. 2281.