Welcome to the StochSS site! StochSS (Stochastic Simulation as a Service)
is our NIBIB-funded project to make discrete stochastic simulation easy and accessable. In the first version of StochSS we are focusing on simulation capabilities for cell biology. Our goal is to enable you to build a model (or models), scale it up to increasing complexity including incorporating spatial dependence, characterization or rare events, and parameter estimation, and explore the parameter space.
StochSS will be available on your desktop as a web app. As your computational needs grow, StochSS will be able to seamlessly deploy the appropriate computing resources as needed, via cloud computing. The foundation of the cloud computing capabilities is the AppScale open source cloud platform, developed by the Krintz group at UCSB. Appscale can link to a variety of commercial clouds, or you can turn your local cluster into a cloud.
Stay tuned for StochSS v1.0, coming soon!
The StochSS team
Linda Petzold, Chandra Krintz, Andreas Hellander, Per Lötstedt, Ben Bales, Bernie Daigle, Sheng Wu, Jin Fu, Chris Bunch, Brian Drawert, Hiranya Jayathilaka, Stefan Hellander
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