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Gridification: Porting New Communities onto the WLCG/EGEE Infrastructure
The computational and storage capability of the Grid are attracting several research communities and we will discuss the general patterns observed in supporting new applications, porting them on the EGEE environment. In this talk we present the general infrastructure we have developed inside the app...
Autores principales: | , , , |
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Lenguaje: | eng |
Publicado: |
2007
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/1120788 |
Sumario: | The computational and storage capability of the Grid are attracting several research communities and we will discuss the general patterns observed in supporting new applications, porting them on the EGEE environment. In this talk we present the general infrastructure we have developed inside the application and support team at CERN (PSS and GD groups) to merge in a fast and feasible way all these applications inside the Grid, as for example Geant4, HARP, Garfield, UNOSAT or ITU. All these communities have different goals and requirements and the main challenge is the creation of a standard and general software infrastructure for the immersion of these communities onto the Grid. This general infrastructure effectively ‘shields’ the applications from the details of the Grid (the emphasis here is to run applications developed independently from the Grid middleware).It is stable enough to require few controls and supports by the members of the Grid team and also of the members of the user communities. Finally, it is flexible and general enough to match the requirements of the different productions without including major changes in the design of the tool. As general submission, tracking and monitoring tools, we have chosen the Ganga/DIANE infrastructure as official tool for all new gridifications. This infrastructure is adapted to the requirements of each production with a minimum impact in the general tool. It also includes a layer to MonALISA to monitor the status of the jobs at each site and keep processing history information. We have also created a whole VOMS infrastructure for a new VO called ‘gear’ (applied for generic applications). This VO hosts a whole EGEE infrastructure, which enables the full and immediate immersion of new communities inside the Grid. At any moment the production of these communities and, also the behaviour and use of the VO policy are strictly monitored by the ARDA team. The main value of the work presented in this talk is the large level abstraction of the Grid that we have achieved with the infrastructure that we have created for new communities. The successful execution of all productions requires a minimum amount of dedicated computational resources and robust and fully supported services. This includes RBs and CEs being in an unconditional stable shape throughout the entire period of each production. Particular attention has to be given to a stable and fully supported computing and storage systems, which do not compromise the basic services. |
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