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Team:Groningen/modeling cumulus
From 2011.igem.org
Cumulus is the Cloud based modelling and data exchange program that we developed. Its purpose is to show, as a proof of concept, that it is possible to integrate both the exchange of data, the production of comprehensive models, and the sharing of computational resources into one platform.
To this end we developed a new collaborative Biology Framework based on Service Oriented Architectures (SOA) and on a Web Services. This approach simplifies and harmonizes the work carried out on the Cloud and Grid platform by geographically dispersed scientists. The new collaborative SOA Cloud Framework (called Cumulus) provides an efficient and easy way to run distributed software.
This capability is put to use in a parameter optimization program, (currently a genetic algorithm) to find the optimal parameters for submitted models. In other words, Cumulus makes it simple to use cloud computing resources to find parameters for models, and at the same time, leads to the sharing of information.
Below are links to look at the different parts of the Cumulus project.
- What exactly did we have in mind when we designed Cumulus.
- Why did we choose to make Cumulus and not to go with existing software.
- An overview of the simulation system that is at the core of Cumulus.
- Some explanation of the parameter optimization algorithm we use.
- The results we got from working with the cumulus system.
- What we want to do in the next version of the cumulus system.
