Private Cloud Platform In Improving The Performance of GIS Analysis

Authors: Jingchao Yang*, George Mason University
Topics: Cyberinfrastructure
Keywords: GIS, Cloud Platform, Computing, Big Data, Open Source
Session Type: Paper
Scheduler ID: WED-066-5:20 p.m.
Day: 4/11/2018
Start / End Time: 5:20 PM / 7:00 PM
Room: Bayside C, Sheraton, 4th Floor

Cloud is more than just tiny droplets of water in today's science and technology world, and scientists are no longer alien to the clouds in today's discussion. With the explosion of data size, allocating all the research materials into a single computer becomes impractical, not to mention with the dramatically advanced complexity of computing, one computer's computing resources fall far behind the experimental requirements. The use of AWS (Amazon Web Services) and OpenStack embodies a huge successful of cloud storage and cloud computing. AWS is a mature commercial public cloud, while with OpenStack, users have options to deploy private cloud on their own servers, meaning OpenStack could be a good bet for users who have server resources or are concerned about data privacy. In this study we will show how to use OpenStack to archive the basic AWS functionalities, and how the user experience, including handling data storage and computing, has been enhanced over traditional one-computer solution.

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