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Team:Groningen/modeling cumulus
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| - | Cumulus is the Cloud based, modelling and data exchange program that we developed. | + | Cumulus is the Cloud based, modelling and data exchange program that we developed. |
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| + | To this end, a new collaborative Biology Framework based on Service Oriented Architectures (SOA) and on a Web Service approach that simplify and harmonize the work carried out on Cloud and Grid platform by geographically dispersed computational scientists has been designed. | ||
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| + | The new collaborative SOA Cloud Framework (called CUMULUS) provides an efficient and easy way to run on the Grid distributed versions of scientific codes and it can be easily generalized and incorporated in any Science Gateways by considering the Grid users at the center of the action as a point of generation, integration, control and evaluation of the computational activities. | ||
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| + | Accordingly, the basic goal of Cumulus is to provide to its users with a user-friendly tool allowing them to exploit the innovative features of biological simulation with no need for mastering related technicalities. In other words, Cumulus makes cloud applications black-box like and, at the same time, leads to better memory usage, reduced cpu and wall times consumption as well as to an optimized distribution of tasks over the platform. This leads also to a more efficient exploitation of available features. | ||
Revision as of 17:09, 20 September 2011
Cumulus is the Cloud based, modelling and data exchange program that we developed.
To this end, a new collaborative Biology Framework based on Service Oriented Architectures (SOA) and on a Web Service approach that simplify and harmonize the work carried out on Cloud and Grid platform by geographically dispersed computational scientists has been designed.
The new collaborative SOA Cloud Framework (called CUMULUS) provides an efficient and easy way to run on the Grid distributed versions of scientific codes and it can be easily generalized and incorporated in any Science Gateways by considering the Grid users at the center of the action as a point of generation, integration, control and evaluation of the computational activities.
Accordingly, the basic goal of Cumulus is to provide to its users with a user-friendly tool allowing them to exploit the innovative features of biological simulation with no need for mastering related technicalities. In other words, Cumulus makes cloud applications black-box like and, at the same time, leads to better memory usage, reduced cpu and wall times consumption as well as to an optimized distribution of tasks over the platform. This leads also to a more efficient exploitation of available features.
Links
Here are some links that might answer you immediate questions:
- Cloud aren't they the white stuff floating in the sky?
- A iGEM application in the cloud, Why would you do that?
- I work in a genetics department, but what about the algorithm part?
