cloudPEST - A python module for cloud-computing deployment of PEST, a program for parameter estimation
Antarctica A Keystone in a Changing World2011
Citations Over Time
Abstract
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).
Related Papers
- → Serving Away From Home: How Deployments Influence Reenlistment(2002)19 cited
- → Large-Scale Deployment of Tablet Computers in Brazilian Public Schools: Decisive Factors and an Implementation Model(2017)1 cited
- → Secure OS extensibility needn't cost an arm and a leg(2005)1 cited
- → Integration with Python(2015)
- → Regularized Maximum Likelihood Estimation for the Random Coefficients Model in Python(2025)