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cloudPEST - A python module for cloud-computing deployment of PEST, a program for parameter estimation

March 25, 2011

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 (EC2(TradeMark)) 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(Registered) operating system but are extensible to Linux(Registered).

Publication Year 2011
Title cloudPEST - A python module for cloud-computing deployment of PEST, a program for parameter estimation
DOI 10.3133/ofr20111062
Authors Michael N. Fienen, Thomas C. Kunicki, Daniel E. Kester
Publication Type Report
Publication Subtype USGS Numbered Series
Series Title Open-File Report
Series Number 2011-1062
Index ID ofr20111062
Record Source USGS Publications Warehouse
USGS Organization Wisconsin Water Science Center