Providing large-scale disk storage at CERN

Hervé Rousseau; Belinda Chan Kwok Cheong; Cristian Contescu; Xavier Espinal Curull; Jan Iven; Hugo Gonzalez Labrador; Massimo Lamanna; Giuseppe Lo Presti; Luca Mascetti; Jakub Moscicki; Dan van der Ster

doi:10.1051/epjconf/201921404033

All issues

Volume 214 (2019)

EPJ Web Conf., 214 (2019) 04033

References

Open Access

Issue		EPJ Web Conf. Volume 214, 2019 23^rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)


Article Number		04033
Number of page(s)		7
Section		T4 - Data handling
DOI		https://doi.org/10.1051/epjconf/201921404033
Published online		17 September 2019

Peters A and Janyst L , Exabyte scale storage at CERN (J. Phys. Conf. Ser. 2011) 331 [Google Scholar]
Rundeck: Platform for Self-Service Operations https://rundeck.org/ [accessed: 2018–11–28] [Google Scholar]
Peters A.J., Sindrilaru E.A., Bitzes G. (2017) Scaling the EOS Namespace. In: Kunkel J., Yokota R., Taufer M., Shalf J. (eds) High Performance Computing. ISC High Performance 2017. Lecture Notes in Computer Science, vol 10524. Springer Cham, [Google Scholar]
A. Kiryanov et al., Harvesting Cycles on Service Nodes HEPiX Spring 2017 conference (2017) https://indico.cern.ch/event/595396/contributions/2532584/ [accessed: 2018–11–28] [Google Scholar]
Scalable Weakly-consistent Infection-style Process Group Membership Protocol http://www.cs.cornell.edu/info/projects/spinglass/public_pdfs/swim.pdf [accessed: 2018–11–28] [Google Scholar]
Lo Presti, G. et al., 2007. CASTOR: A Distributed Storage Resource Facility for High Performance Data Processing at CERN. In Proceedings of the 24th IEEE Conference on Mass Storage Systems and Technologies (September 24–27, 2007). MSST. IEEE Computer Society [Google Scholar]
E Cano et al 2015 J. Phys.: Conf. Ser. 664 042007 [CrossRef] [Google Scholar]
P Calafiura et al 2015 J. Phys.: Conf. Ser. 664 062065 [CrossRef] [Google Scholar]
Traefik: The Cloud Native Edge Router https://www.traefik.io [accessed: 2018–11–28] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.

[1] Peters A and Janyst L , Exabyte scale storage at CERN (J. Phys. Conf. Ser. 2011) 331 [Google Scholar]

[2] Rundeck: Platform for Self-Service Operations https://rundeck.org/ [accessed: 2018–11–28] [Google Scholar]

[3] Peters A.J., Sindrilaru E.A., Bitzes G. (2017) Scaling the EOS Namespace. In: Kunkel J., Yokota R., Taufer M., Shalf J. (eds) High Performance Computing. ISC High Performance 2017. Lecture Notes in Computer Science, vol 10524. Springer Cham, [Google Scholar]

[4] A. Kiryanov et al., Harvesting Cycles on Service Nodes HEPiX Spring 2017 conference (2017) https://indico.cern.ch/event/595396/contributions/2532584/ [accessed: 2018–11–28] [Google Scholar]

[5] Scalable Weakly-consistent Infection-style Process Group Membership Protocol http://www.cs.cornell.edu/info/projects/spinglass/public_pdfs/swim.pdf [accessed: 2018–11–28] [Google Scholar]

[6] Lo Presti, G. et al., 2007. CASTOR: A Distributed Storage Resource Facility for High Performance Data Processing at CERN. In Proceedings of the 24th IEEE Conference on Mass Storage Systems and Technologies (September 24–27, 2007). MSST. IEEE Computer Society [Google Scholar]

[7] E Cano et al 2015 J. Phys.: Conf. Ser. 664 042007 [CrossRef] [Google Scholar]

[8] P Calafiura et al 2015 J. Phys.: Conf. Ser. 664 062065 [CrossRef] [Google Scholar]

[9] Traefik: The Cloud Native Edge Router https://www.traefik.io [accessed: 2018–11–28] [Google Scholar]