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Open-File Report 2011–1062

cloudPEST — A Python Module for Cloud-Computing Deployment of PEST, a Program for Parameter Estimation

By Michael N. Fienen, Thomas C. Kunicki, and Daniel E. Kester

ABSTRACT

Thumbnail of and link to report PDF (2.16 MB)

This report documents cloudPEST—a Python module with functions to facilitate deployment of the model-independent parameter estimation code PEST on a cloud-computing environment. cloudPEST makes use of low-level, freely available command-line tools that interface with the Amazon Elastic Compute Cloud (EC2TM) that are unlikely to change dramatically. This report describes the preliminary setup for both Python and EC2 tools and subsequently describes the functions themselves. The code and guidelines have been tested primarily on the Windows® operating system but are extensible to Linux®.

Revised June 21, 2011

Posted March 24, 2011

For additional information contact:
Director, Wisconsin Water Science Center
U.S. Geological Survey
8505 Research Way
Middleton, WI USA 53562
http://wi.water.usgs.gov/

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Suggested citation:

Fienen, M. N., Kunicki, T. C., and Kester, D. E., 2011, cloudPEST — A python module for cloud-computing deployment of PEST, a program for parameter estimation: U.S. Geological Survey Open-File Report 2011–1062, 22 p., available also at https://pubs.usgs.gov/of/2011/1062.



Contents

Abstract

Introduction

Preliminaries

Instructions

cloudPEST Classes and Functions

cloudPESTclient Functions

Acknowledgements

References


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