COSI-Corr (Co-registration of Optically Sensed Images and Correlation) is a software developed at CalTech that estimates ground displacements using multi-temporal satellite images. Among other uses, correlating such images enables geologists to locate earthquake fault ruptures soon after an event. Unfortunately, analysis of a few pairs of images may take on the order of several hours. To improve this response time, our project is to propose a framework that allows the migration of COSI-Corr to a multitude of distributed computing environments.