Modern Computing Paradigms: Mobile Applications and Infrastructure as Code

Master's Thesis


The computing world is constantly changing and requires the use of new technologies to solve emerging world problems. This thesis specifically looks at how to apply two new technologies, mobile computing and infrastructure as code, to address the issue of crumbling structures in Haiti and the provisioning of virtual machines for collaborative team work.An Android mobile application was created and will be tested during the summer of 2013 by a small group of engineering students in Ecuador, Uganda, and Costa Rica. The application will eventually be used in Haiti to guide a Haitian citizen through an assessment to obtain data that civil engineering experts will later use to construct a structural model and identify areas at risk of collapse. DevOps is a general movement from a traditional development approach to an agile approach. Within this movement, exists a methodology known as infrastructure as code that focuses on how the infrastructure is created, automatically provisioned and maintained. A provisioning language, Puppet, is used to provision a virtual or physical machine with specified configuration settings. A benefit of this approach is the developers, testers, and system administrators all work on identical computing environments.


Attribute NameValues
  • etd-04162013-121739

Author Aaron Allen Huus
Advisor Dr. Gregory Madey
Contributor Dr. Gregory Madey, Committee Chair
Contributor Dr. Alexandros Taflanidis, Committee Member
Contributor Dr. Timothy Wright, Committee Member
Degree Level Master's Thesis
Degree Discipline Computer Science and Engineering
Degree Name MSCSE
Defense Date
  • 2013-04-05

Submission Date 2013-04-16
  • United States of America

  • mobile applications

  • DevOps

  • infrastructure as code

  • mobile development

  • University of Notre Dame

  • English

Record Visibility Public
Content License
  • All rights reserved

Departments and Units


Please Note: You may encounter a delay before a download begins. Large or infrequently accessed files can take several minutes to retrieve from our archival storage system.