The GridKa Tier 1 data and computing center hosts a significant share of WLCG processing resources. Providing these resources to all major LHC and other VOs requires efficient, scalable and reliable cluster management. To satisfy this, GridKa has recently migrated its batch resources from CREAM-CE and PBS to ARC-CE and HTCondor. This contribution discusses the key highlights of the adoption of this middleware at the scale of a European Tier 1 center: As the largest WLCG Tier 1 using the ARC-CE plus HTCondor stack, GridKa is exemplary for migrating more than 20 000 cores over the time span of only a few weeks. Supporting multiple VOs, we have extensively studied the constraints and possibilities of scheduling jobs of vastly different require...
The GRIDPP Tier-1 Centre at RAL is one of 10 Tier-1 centres worldwide preparing for the start of LHC...
CREAM is a CE program used by many sites based on UMD middleware to handle grid computing jobs. CREA...
LHC experiments require significant computational resources for Monte Carlo simulations and real dat...
The GridKa Tier 1 data and computing center hosts a significant share of WLCG processing resources. ...
The Worldwide LHC Computing Grid (WLCG) currently has about 170 sites. In order to support WLCG work...
The Worldwide LHC Computing Grid (WLCG) is today comprised of a range of different types of resource...
The WLCG is today comprised of a range of different types of resources such as cloud centers, large ...
The Worldwide LHC Computing Grid (WLCG) is today comprised of a range of different types of resource...
After the successful first run of the LHC, data taking is scheduled to restart in Summer 2015 with e...
The ATLAS Computing Model was designed around the concepts of grid computing; since the start of dat...
The inclusion of opportunistic resources, for example from High Performance Computing (HPC) centers ...
The ATLAS Computing Model was designed around the concept of grid computing; since the start of data...
Within WLCG, the DESY site in Hamburg is one of the largest Tier-2 sites with about 18500 CPU cores ...
The ATLAS GridKa cloud consists of the GridKa Tier1 centre and 12 Tier2 sites from five countries as...
The GridKa computing center, hosted by Steinbuch Centre for Computing at the Karlsruhe Institute for...
The GRIDPP Tier-1 Centre at RAL is one of 10 Tier-1 centres worldwide preparing for the start of LHC...
CREAM is a CE program used by many sites based on UMD middleware to handle grid computing jobs. CREA...
LHC experiments require significant computational resources for Monte Carlo simulations and real dat...
The GridKa Tier 1 data and computing center hosts a significant share of WLCG processing resources. ...
The Worldwide LHC Computing Grid (WLCG) currently has about 170 sites. In order to support WLCG work...
The Worldwide LHC Computing Grid (WLCG) is today comprised of a range of different types of resource...
The WLCG is today comprised of a range of different types of resources such as cloud centers, large ...
The Worldwide LHC Computing Grid (WLCG) is today comprised of a range of different types of resource...
After the successful first run of the LHC, data taking is scheduled to restart in Summer 2015 with e...
The ATLAS Computing Model was designed around the concepts of grid computing; since the start of dat...
The inclusion of opportunistic resources, for example from High Performance Computing (HPC) centers ...
The ATLAS Computing Model was designed around the concept of grid computing; since the start of data...
Within WLCG, the DESY site in Hamburg is one of the largest Tier-2 sites with about 18500 CPU cores ...
The ATLAS GridKa cloud consists of the GridKa Tier1 centre and 12 Tier2 sites from five countries as...
The GridKa computing center, hosted by Steinbuch Centre for Computing at the Karlsruhe Institute for...
The GRIDPP Tier-1 Centre at RAL is one of 10 Tier-1 centres worldwide preparing for the start of LHC...
CREAM is a CE program used by many sites based on UMD middleware to handle grid computing jobs. CREA...
LHC experiments require significant computational resources for Monte Carlo simulations and real dat...