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Team:Groningen/modeling cumulus
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==Links== | ==Links== | ||
| - | Here are some quick links to look at the | + | Here are some quick links to look at the different parts of the Cumulus prodject. |
| - | *[[Team:Groningen/modeling_vision| | + | *[[Team:Groningen/modeling_vision|What exactly did we have in mind when we desinged Cumulus]] |
| - | *[[Team:Groningen/modeling_methods| | + | *[[Team:Groningen/modeling_methods|Why did we choose to make Cumulus and not go with an existing package]] |
| - | *[[Team:Groningen/modeling_features| | + | *[[Team:Groningen/modeling_features|What can Cumulus do and how does it do it.]] |
| - | *[[Team:Groningen/modeling_simulation_engine| | + | *[[Team:Groningen/modeling_simulation_engine|An overview of the simulation system that is at the core of Cumulus]] |
| - | *[[Team:Groningen/modeling_genetic_algorithms| | + | *[[Team:Groningen/modeling_genetic_algorithms|Some explanation of the parameter optimization algorithm we use.]] |
| - | *[[Team:Groningen/modeling_results| | + | *[[Team:Groningen/modeling_results|The results we got from working with the cumulus system]] |
| - | *[[Team:Groningen/modeling_cumulus2| | + | *[[Team:Groningen/modeling_cumulus2|What we want to do in the next version of the cumulus system]] |
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{{FooterGroningen2011}} | {{FooterGroningen2011}} | ||
Revision as of 15:58, 21 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 quick links to look at the different parts of the Cumulus prodject.
- What exactly did we have in mind when we desinged Cumulus
- Why did we choose to make Cumulus and not go with an existing package
- What can Cumulus do and how does it do it.
- 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
