Document Type

Closed Project

Publication Date

Fall 2019

Instructor

Timothy Anderson

Course Title

Operations Research

Course Number

ETM 540

Subjects

Cloud computing, Operating systems (Computers) -- Evaluation, Data envelopment analysis, R (Computer program language), Operations research

Abstract

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.

Rights

In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).

Comments

Note: This project is only available to students, staff and faculty at Portland State University.

Persistent Identifier

https://archives.pdx.edu/ds/psu/30873

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