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Panel “Making real large-scale grids for real money-making users: why, how and when?” August 2005 Achim Streit Forschungszentrum Jülich in der.

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Presentation on theme: "Panel “Making real large-scale grids for real money-making users: why, how and when?” August 2005 Achim Streit Forschungszentrum Jülich in der."— Presentation transcript:

1 GRID@Large Panel “Making real large-scale grids for real money-making users: why, how and when?” August 2005 Achim Streit Forschungszentrum Jülich in der Helmholtz-Gesellschaft

2 2Forschungszentrum Jülich Large? ... in number of participating sites  virtual organization management ... in compute capability  resource management ... in storage capacity  data and replica management, data access and transfer ... in geographical expansion  network latency, bandwidth, availability ... in amount of users  authentication/authorization, accounting/billing ... in middleware platforms  interoperability

3 3Forschungszentrum Jülich Important aspects in large-scale Grids  easy and straightforward installation and configuration of Grid middleware platform  full interoperability of Grid middleware platforms, if more than one is used  seamless integration of new sites and resources in the Grid infrastructure  scalability and redundancy of major components and services for e.g. information, scheduling, accounting,...  smooth and fast integration of new users at all sites  common rules, policies, and methods for e.g. security mechanisms, directory & file naming conventions,...  powerful monitoring system for jobs and resources

4 4Forschungszentrum Jülich DEISA’s approach  UNICORE as Grid middleware platform  DEISA primer for new site administrators with all information about naming conventions, operational methods, configuration files, hostnames and ports of core services,...  dedicated network from NRENs and GEANT between the DEISA sites for job migration and data transfer  GPFS as storage and access to data  LDAP for user data and integration in UNICORE User DataBase (UUDB)  LL-MC and LSF for resource management, co-allocation, job re-routing, and migration  Ganglia, Inca, and MDS2 for automated testing and monitoring


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