TY - JOUR
T1 - CDF way to the grid
AU - Sarkar, Subir
AU - Sfiligoi, Igor
AU - Belforte, Stefano
AU - Fella, Armando
AU - Hsu, Shih Chieh
AU - Jeans, Daniel
AU - Lipeles, Elliot
AU - Lucch-esi, Donatella
AU - Neubauer, Mark
AU - Paoli, Francesco Delli
AU - Wuerthwein, Frank
N1 - Publisher Copyright:
c Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike Licence.
PY - 2005
Y1 - 2005
N2 - Higher instantaneous luminosity of the Tevatron Collider and improved detector and trigger efficiencies require large increases in computing power for the CDF experiment in order to be able to meet future needs of data analysis and MC production. So far, CDF has been relying on a set of Analysis Farms (CAFs) with dedicated resources of commodity nodes managed as Condor pools, with a small CDF specific software layer on top of Condor. However, it has long been understood that significant expansion of the dedicated pools will be impossible in the future, and that CDF must move towards utilizing shared Grid resources. We have extended the existing CDF computing model by incorporating the Condor glide-in mechanism that can create dynamic Condor pools on top of existing batch systems, without requiring any additional software installation. All the monitoring tools supported on the dedicated CAFs, including semi-interactive access to the running jobs and detailed monitoring, have been preserved. CDF is also building an interface over the gLite tools for a broader access of resources and looking into other possibilities. In this paper, we will discuss about various CDF Grid initiatives and how they fit into the CDF plans.
AB - Higher instantaneous luminosity of the Tevatron Collider and improved detector and trigger efficiencies require large increases in computing power for the CDF experiment in order to be able to meet future needs of data analysis and MC production. So far, CDF has been relying on a set of Analysis Farms (CAFs) with dedicated resources of commodity nodes managed as Condor pools, with a small CDF specific software layer on top of Condor. However, it has long been understood that significant expansion of the dedicated pools will be impossible in the future, and that CDF must move towards utilizing shared Grid resources. We have extended the existing CDF computing model by incorporating the Condor glide-in mechanism that can create dynamic Condor pools on top of existing batch systems, without requiring any additional software installation. All the monitoring tools supported on the dedicated CAFs, including semi-interactive access to the running jobs and detailed monitoring, have been preserved. CDF is also building an interface over the gLite tools for a broader access of resources and looking into other possibilities. In this paper, we will discuss about various CDF Grid initiatives and how they fit into the CDF plans.
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M3 - Conference article
AN - SCOPUS:85056267758
SN - 1824-8039
VL - 21
JO - Proceedings of Science
JF - Proceedings of Science
T2 - 2005 International Europhysics Conference on High Energy Physics, HEP 2005
Y2 - 21 July 2005 through 27 July 2005
ER -