Costs and Benefits of Atmospheric Correction in the "Clouds"

Abstract

The evolution of software applications from single desktops to sophisticated cloud-based systems is challenging. In particular, applications that involve massive data sets, such as geospatial applications and data science applications are challenging for domain experts who are suddenly constructing these sophisticated code bases. This paper provides a study of moving an atmospheric correction algorithm to two different cloud based systems. The costs and benefits are evaluated through design and development on two different platforms—a batch-based cloud system, and a general purpose pay-for-use cloud environment.