Team GRAAL

Members
Overall Objectives
Scientific Foundations
Application Domains
Software
New Results
Other Grants and Activities
Dissemination
Bibliography

Section: Application Domains

Décrypthon

The Décrypthon project is built over a collaboration between CNRS, AFM ( Association Française contre les Myopathies ), and IBM. Its goal is to make computational and storage resources available to bioinformatic research teams in France. These resources, connected as a Grid through the Renater network, are installed in six universities and schools in France (Bordeaux, Jussieu, Lille, Lyon, Orsay, and Rouen). The Décrypthon project offers means necessary to use the Grid through financing of research teams and postdoc, and assistance on computer science problems (modelization, application development, data management, ...). The Graal research team is involved in this project as an expert for application gridification.

The Grid middleware used at the beginning of the project was GridMP from United Devices. In 2007, other software solutions were evaluated and among them Diet , developed within Graal , and g-Lite from the european EGEE project. Diet was finally chosen to be the Grid middleware of the Décrypthon Grid. It ensures the load-balancing of jobs over the 6 computation centers through the Renater network.

The Décryphton Grid is built over several components: the Diet Grid middleware, a web portal to access Grid resources, and local batch schedulers in each university. The web portal is installed on a dedicated machine in Orsay. It runs a specific web application for each research project which allows submission of computation request over all Décrypthon resources. The web portal then sends requests to the Diet middleware deployed over the Grid to find appropriate resources and application over the network. The Diet middleware is deployed as follows. One ServerDeamon (SeD) is started on every server frontend. It is then connected to the Master Agent that runs in Orsay. SeDs collect information about the server loads and submit jobs to local batch schedulers (Loadleveler, PBS, OAR ...). Indeed, several improvements are now provided in the Diet Grid middleware: they give Décrypthon contributors a powerful API to be able to launch transparently on their behalf their applications, in particular on AIX systems using the Loadleveler reservation batch system. Application can be parallel or not. No need to focus on the batch syntax, a user just has to write how to manage his data and how to call his program, and Diet creates the correct script accordingly to the batch directives, submits on the correct queue and manage the job on behalf of the user. Moreover, SeD take in charge te data movement between storage servers and computational servers.

This transfer of our middleware, first built for large scale experimentations of scheduling heuristics, in a production Grid is a real victory for our research team.


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