Servicio de Información Comunitario sobre Investigación y Desarrollo - CORDIS

Grid middleware

One of the main objectives of DataTAG was to ease interoperability between, Globus based, EU and US Grid projects, such as DataGrid, GriPhyN, PPDG. The companion US project is iVDGL and the coordination has been performed under the auspices of the High Energy and Nuclear Physics InterGrid Coordination Board (HICB) whose flagship activity GLUE (Grid Laboratory Uniform Environment) led to the establishment of a new common Grid Information Services schema for computing elements, storage elements and network elements.

GLUE has been an exemplary collaboration between DataTAG and iVDGL. As a result interoperability issues between US and EU Grid projects are now much better understood. The GLUE middleware has been integrated into the EU DataGrid middleware, which is also used by the LHC Computing Grid project (LCG). The Virtual Organization Membership Services (VOMS) and Local Community Authorization Services (LCAS) made by DataTAG attracted lot of interest from our US colleagues through the iVDGL project.

The first transtalantic Grid interoperability Demos and presentations promoting the DataTAG project and the GLUE testbed with cross-submission of jobs from EU to US and vice versa have been successfully organized in collaboration with Gridstart and DataGrid at the IST2002 conference (4-6 November, Copenhagen), and iVDGL at the SC2002 conference (16-22 November, Baltimore. Besides the Grid Information Service, allowing resource discovery and resource selection through specific parameters describing characteristics and state of the resources, a monitoring system collecting resource state information and reacting to critical resource conditions is fundamental for Grid management and control. The users need to monitor their jobs, check the Grid computing resource where their jobs are run and control the disks where their data are read or written. Without this 'eye' over the Grid, not only the Grid manager cannot control the Grid behaviour, but also the user is lost and has difficulty to trust the Grid. For this reason, it has been decided within the DataTAG project to develop GridICE, a new monitoring system that is easy to integrate in the existing middleware, based on the Globus MDS information service and relying on the GLUE Schema information model.

Specifically for GridICE, the ‘Host class’ of the Computing element schema has been extended with a richer set of attributes. In particular, a Host can play zero or more different roles; each role is supported by a set of processes and ‘Summary info’ for each process type is modeled. This enables the monitoring of all vital Grid services. GridICE is structured in five layers, from producers of monitoring data to final consumer of monitoring information.

The dynamic nature of sharing relationships means that we require mechanisms for discovering and characterizing them at any given time. For example, a new participant joining a Virtual Organization (VO) must be able to determine what resources he is able to access, the “quality” of these resources, and the policies that govern access to them. This implies that VO services are needed to specify users’ identifiers for Authentication and Authorization (AA) mechanisms, Grid-access policies, data and metadata file catalogues, etc. DataTAG-WP4 and DataGrid developed a Virtual Organization Membership Service focused on user authorization and supporting VO-based management that is available at:

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