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1.
DIRAC Site Director: Improving Pilot-Job provisioning on grid resources / Boyer, Alexandre F (CERN ; U. Clermont Auvergne) ; Haen, Christophe (CERN) ; Stagni, Federico (CERN) ; Hill, David R C (U. Clermont Auvergne)
To study the constituents of matter, CERN mainly relies on the Worldwide LHC Computing Grid (WLCG), which processes petabytes of data coming from the Large Hadron Collider (LHC). LHC experiments have adopted the Pilot-Job paradigm, and deliver tools to supply grid resources with Pilot-Jobs, to efficiently leverage the computing power offered by WLCG. [...]
2022 - 16 p. - Published in : Future Gener. Comput. Syst. 133 (2022) 23-38 Fulltext: PDF;
2.
Pilot-job provisioning on grid resources: Collecting analysis and performance evaluation data / Boyer, Alexandre F (CERN ; Clermont-Ferrand U.) ; Haen, Christophe (CERN) ; Stagni, Federico (CERN) ; Hill, David R C (Clermont-Ferrand U.)
To take advantage of the computing power offered by grid and opportunistic resources, the CERN Large Hadron Collider (LHC) experiments have adopted the Pilot-Job paradigm. In this work, we study the DIRAC Site Director, one of the existing Pilot-Job provisioning solutions, mainly developed and used by the beauty experiment (LHCb). [...]
2022 - 7 p. - Published in : Data in Brief 42 (2022) 108104 Fulltext: PDF;
3.
Automated Grid Monitoring for the LHCb Experiment Through HammerCloud / Dice, Bradley (CERN)
The HammerCloud system is used by CERN IT to monitor the status of the Worldwide LHC Computing Grid (WLCG). [...]
CERN-STUDENTS-Note-2015-042.
- 2015
Access to fulltext
4.
Automated Grid Monitoring for LHCb through HammerCloud / DICE, Bradley (speaker)
The HammerCloud system is used by CERN IT to monitor the status of the Worldwide LHC Computing Grid (WLCG). HammerCloud automatically submits jobs to WLCG computing resources, closely replicating the workflow of Grid users (e.g. [...]
2015 - 608. REU; Michigan REU Summer Student Program External links: Talk details; Event details In : Michigan REU Summer Student Program
5.
Application of rule-based data mining techniques to real time ATLAS Grid job monitoring data / Ahrens, R (Fachhochschule Cologne) ; Harenberg, T (Bergische Universitaet Wuppertal) ; Kalinin, S (Bergische Universitaet Wuppertal) ; Maettig, P (Bergische Universitaet Wuppertal) ; Sandhoff, M (Bergische Universitaet Wuppertal) ; dos Santos, T (Bergische Universitaet Wuppertal) ; Volkmer, F (Bergische Universitaet Wuppertal)
The Job Execution Monitor (JEM) is a job-centric grid job monitoring software developed at the University of Wuppertal and integrated into the pilot-based “PanDA” job brokerage system leveraging physics analysis and Monte Carlo event production for the ATLAS experiment on the Worldwide LHC Computing Grid (WLCG). With JEM, job progress and grid worker node health can be supervised in real time by users, site admins and shift personnel. [...]
ATL-SOFT-SLIDE-2012-184.- Geneva : CERN, 2012 - 1 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : Computing in High Energy and Nuclear Physics 2012, New York, NY, USA, 21 - 25 May 2012
6.
Application of rule-based data mining techniques to real time ATLAS Grid job monitoring data / Ahrens, R (Koln, Fachhochschule ; Bergische U.) ; Harenberg, T (Bergische U.) ; Kalinin, S (Bergische U.) ; Maettig, P (Bergische U.) ; Sandhoff, M (Bergische U.) ; dos Santos, T (Bergische U.) ; Volkmer, F (Bergische U.)
The Job Execution Monitor (JEM) is a job-centric grid job monitoring software developed at the University of Wuppertal and integrated into the pilot-based “PanDA” job brokerage system leveraging physics analysis and Monte Carlo event production for the ATLAS experiment on the Worldwide LHC Computing Grid (WLCG). [...]
ATL-SOFT-PROC-2012-046.
- 2012. - 9 p.
Original Communication (restricted to ATLAS) - Full text
7.
The Open Science Grid – Support for Multi-Disciplinary Team Science – the Adolescent Years / Pordes, Ruth (speaker) (Fermi National Accelerator Lab. (US))
As it enters adolescence the Open Science Grid (OSG) is bringing a maturing fabric of Distributed High Throughput Computing (DHTC) services that supports an expanding HEP community to an increasingly diverse spectrum of domain scientists. Working closely with researchers on campuses throughout the US and in collaboration with national cyberinfrastructure initiatives, we transform their computing environment through new concepts, advanced tools and deep experience. [...]
2012 - 2884. Conferences; Computing in High Energy and Nuclear Physics (CHEP) 2012 External links: Talk details; Event details In : Computing in High Energy and Nuclear Physics (CHEP) 2012
8.
LHCb Grid Computing
Reference: Poster-2008-061
Created: 2006. -1 p
Creator(s): Smith, A

DIRAC allows LHCb computing jobs to be processed on dedicated LHCb resources as well as underlying GRID systems such as the LCG.

Related links:
Conference Marie-Curie
© CERN Geneva

Fulltext
9.
Jobs masonry in LHCb with elastic Grid Jobs / Stagni, F (CERN) ; Charpentier, Ph (CERN)
In any distributed computing infrastructure, a job is normally forbidden to run for an indefinite amount of time. This limitation is implemented using different technologies, the most common one being the CPU time limit implemented by batch queues. [...]
LHCb-PROC-2015-015; CERN-LHCb-PROC-2015-015.- Geneva : CERN, 2015 - 5 p. - Published in : J. Phys.: Conf. Ser. 664 (2015) 062060 Fulltext: PDF; IOP Open Access article: PDF;
In : 21st International Conference on Computing in High Energy and Nuclear Physics, Okinawa, Japan, 13 - 17 Apr 2015, pp.062060
10.
The LHCb Experience on the Grid from the DIRAC Accounting Data / Puig, A (U. Barcelona (main)) ; Vázquez, R (U. Barcelona (main)) ; Graciani, R (U. Barcelona (main)) ; Casajús, A (U. Barcelona (main))
DIRAC is the software framework developed by LHCb to manage all its computing operations on the Grid. Since 2003 it has been used for large scale Monte Carlo simulation productions and for user analysis of these data. [...]
LHCb-PROC-2011-026; CERN-LHCb-PROC-2011-026.- Geneva : CERN, 2011 - 6 p. Fulltext: PDF;
In : Conference on Computing in High Energy and Nuclear Physics 2010, Taipei, Taiwan, 18 - 22 Oct 2010

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