ATLAS has recorded almost 8PB of RAW data since the LHC started running at the end of 2009. Many more derived data products and complimentary simulation data have also been produced by the collaboration and, in total, 90PB is currently stored in the Worldwide LHC Computing Grid by ATLAS. All this data is managed by the ATLAS Distributed Data Management system, called Don Quijote 2 (DQ2). DQ2 has evolved rapidly to help ATLAS Computing operations manage these large quantities of data across the many grid sites at which ATLAS runs, and to help ATLAS physicists get access to this data. In this paper, we describe new and improved DQ2 services, and the experience of data management operation in ATLAS computing, showing how these services enable ...
AbstractRucio is the next-generation of Distributed Data Management (DDM) system benefiting from rec...
The CERN ATLAS experiment successfully uses a worldwide computing infrastructure to support the phys...
In this work we address the management of very large data sets, which need to be stored and processe...
ATLAS has recorded almost 8PB of RAW data since the LHC started running at the end of 2009. Many mor...
ATLAS has recorded almost 5PB of RAW data since the LHC started running at the end of 2009. Many mor...
The ATLAS collaboration has recorded almost 5PB of RAW data since the LHC started running at the end...
The ATLAS detector at CERN's Large Hadron Collider presents data handling requirements on an unprece...
The ATLAS Distributed Data Management (DDM) system has evolved drastically in the last two years wit...
The ATLAS Distributed Computing infrastructure has evolved after the first period of LHC data taking...
The ATLAS Distributed Computing infrastructure has evolved after the first period of LHC data taking...
Rucio is the next-generation Distributed Data Management(DDM) system benefiting from recent advances...
We describe Don Quijote 2 (DQ2), a new approach to the management of large scientific datasets by a ...
The ATLAS Distributed Data Management (DDM) System is responsible for the global management of petab...
In this paper, we introduce a system for handling very large datasets, which need to be stored acros...
On behalf of the ATLAS Collaboration The ATLAS Distributed Data Management (DDM) is the system built...
AbstractRucio is the next-generation of Distributed Data Management (DDM) system benefiting from rec...
The CERN ATLAS experiment successfully uses a worldwide computing infrastructure to support the phys...
In this work we address the management of very large data sets, which need to be stored and processe...
ATLAS has recorded almost 8PB of RAW data since the LHC started running at the end of 2009. Many mor...
ATLAS has recorded almost 5PB of RAW data since the LHC started running at the end of 2009. Many mor...
The ATLAS collaboration has recorded almost 5PB of RAW data since the LHC started running at the end...
The ATLAS detector at CERN's Large Hadron Collider presents data handling requirements on an unprece...
The ATLAS Distributed Data Management (DDM) system has evolved drastically in the last two years wit...
The ATLAS Distributed Computing infrastructure has evolved after the first period of LHC data taking...
The ATLAS Distributed Computing infrastructure has evolved after the first period of LHC data taking...
Rucio is the next-generation Distributed Data Management(DDM) system benefiting from recent advances...
We describe Don Quijote 2 (DQ2), a new approach to the management of large scientific datasets by a ...
The ATLAS Distributed Data Management (DDM) System is responsible for the global management of petab...
In this paper, we introduce a system for handling very large datasets, which need to be stored acros...
On behalf of the ATLAS Collaboration The ATLAS Distributed Data Management (DDM) is the system built...
AbstractRucio is the next-generation of Distributed Data Management (DDM) system benefiting from rec...
The CERN ATLAS experiment successfully uses a worldwide computing infrastructure to support the phys...
In this work we address the management of very large data sets, which need to be stored and processe...