Off-campus South Dakota State University users: To download campus access theses, please use the following link to log into our proxy server with your South Dakota State University ID and password.
Non-South Dakota State University users: Please talk to your librarian about requesting this thesis through interlibrary loan.
Thesis - University Access Only
Master of Science (MS)
Electrical Engineering and Computer Science
Cloud Computing through various public cloud providers is becoming a more and more effective way for companies and organizations to utilize computing resources. This paper will propose, plan, model, and investigate the feasibility and cost of utilizing cloud computing resources to perform processes on very large sets of binary data. In this case the binary data is the very large Landsat TM and ETM+ sensor archive. Due to the costs of running trials against processing large datasets, a model will be created that can be utilized for predicting cloud performance and cloud costs. This model will be evaluated against real world examples and will be utilized to measure performance of an existing private cloud implementation of a distributed processing system. The determination of this study of the feasibility of the public cloud for this kind of computing will influence what kind of potential future activities could be undertaken by owners of large binary datasets for their processing needs and user based processing demands.
Library of Congress Subject Headings
Electronic data processing
Natural resources--Remote sensing--Databases
Includes bibliographical references (pages 74-75).
Number of Pages
South Dakota State University
In Copyright - Educational Use Permitted
Werpy, Jason, "EC2 Public Cloud Computing and Large Scale Processing of Landsat Data" (2013). Electronic Theses and Dissertations. 1686.