Olivier Chaze, Jean-Marc André, Anastasios Andronidis, U. Behrens, J. G. Branson, Philipp Brummer, Cristian Contescu, Sergio Cittolin, B G Craigs, Georgiana-Lavinia Darlea, Christian Deldicque, Z. Demiragli, Marc Dobson, Nicolas Doualot, S. Erhan, Jonathan Richard Fulcher, D. Gigi, F. Glege, G. Gomez Ceballos, J. Hegeman, André Holzner, R Jimenez-Estupiñán, Lorenzo Masetti, F. Meijers, E. Meschi, R. K. Mommsen, Srećko Morović, Vivian O’Dell, L. Orsini, Christoph Paus, M. Pieri, A. Rácz, Hannes Sakulin, Christoph Schwick, T. Reis, Dainius Šimelevičius, P. Zejdl

doi:10.22323/1.270.0022

Opportunistic usage of the CMS online cluster using a cloud overlay

Olivier Chaze, Jean-Marc André, Anastasios Andronidis, U. Behrens, J. G. Branson, Philipp Brummer, Cristian Contescu, Sergio Cittolin, B G Craigs, Georgiana-Lavinia Darlea, Christian Deldicque, Z. Demiragli, Marc Dobson, Nicolas Doualot, S. Erhan, Jonathan Richard Fulcher, D. Gigi, F. Glege, G. Gomez Ceballos, J. Hegeman, André Holzner, R Jimenez-Estupiñán, Lorenzo Masetti, F. Meijers, E. Meschi, R. K. Mommsen, Srećko Morović, Vivian O’Dell, L. Orsini, Christoph Paus, M. Pieri, A. Rácz, Hannes Sakulin, Christoph Schwick, T. Reis, Dainius Šimelevičius, P. Zejdl

2017

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Summary

After two years of maintenance and upgrade, the Large Hadron Collider (LHC), the largest and most powerful particle accelerator in the world, has started its second three year run. Around 1500 computers make up the CMS (Compact Muon Solenoid) Online cluster. This cluster is used for Data Acquisition of the CMS experiment at CERN, selecting and sending to storage around 20 TBytes of data per day that are then analysed by the Worldwide LHC Computing Grid (WLCG) infrastructure that links hundreds of data centres worldwide. 3000 CMS physicists can access and process data, and are always seeking more computing power and data. The backbone of the CMS Online cluster is composed of 16000 cores which provide as much computing power as all CMS WLCG Tier1 sites (352K HEP-SPEC-06 score in the CMS clus

Source type: Peer-reviewed study
DOI: 10.22323/1.270.0022
Catalogue ID: BFmoakviqe-ye9dtn

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