Open Access
Issue
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
Article Number 04010
Number of page(s) 7
Section T4 - Data handling
DOI https://doi.org/10.1051/epjconf/201921404010
Published online 17 September 2019
  1. D. Barberis, S.C. Zárate, J. Cranshaw, A. Favareto, Á.F. Casaní, E. Gallas, C. Glasman, S.G. De La Hoz, J. Hřivnáč, D. Malon et al., The ATLAS EventIndex: architecture, design choices, deployment and first operation experience, in Journal of Physics: Conference Series (IOP Publishing, 2015), Vol. 664 p. 042003 [CrossRef] [Google Scholar]
  2. Á. Fernández Casaní, F. Prokoshin, R. Yuan, J. Sánchez, J. Salt, D. Barberis, R. Többicke, A. Favareto, J. Hřivnáč, C.G. Montoro et al., ATLAS EventIndex general dataflow and monitoring infrastructure, in Journal of Physics: Conference Series (2017), Vol. 898, p. 062010 [CrossRef] [Google Scholar]
  3. S.A. Weil, S.A. Brandt, E.L. Miller, D.D.E. Long, C. Maltzahn, Ceph: A Scalable, High-performance Distributed File System, in Proceedings of the 7th Symposium on Operating Systems Design and Implementation (USENIX Association, Berkeley, CA, USA, 2006), OSDI ’06, pp. 307–320, ISBN 1-931971-47-1, http://dl.acm.org/citation.cfm?id=1298455.1298485 [Google Scholar]
  4. T. Lipcon, D. Alves, D. Burkert, J.D. Cryans, A. Dembo, M. Percy, S. Rus, D. Wang, M. Bertozzi, C.P. McCabe et al., Kudu: storage for fast analytics on fast data (2015) [Google Scholar]
  5. Z. Baranowski, D. Barberis, L. Canali, A. Fernandez Casani, E. Gallas, C. Garcia Mon-toro, S. Gonzalez de la Hoz, J. Hrivnac, F. Prokoshin, G. Rybkin et al, (ATLAS collaboration), A prototype for the evolution of the ATLAS EventIndex based on Apache Kudu storage, in Proceedings of the 23rd International Conference on Computing in High En-ergy and Nuclear Physics (EDP Sciences, Les Ulis, France, 2018) [Google Scholar]
  6. M. Kornacker, A. Behm, V. Bittorf, T. Bobrovytsky, A. Choi, J. Erickson, M. Grund, D. Hecht, M. Jacobs, I. Joshi et al., Impala: A modern, open-source sql engine for hadoop, in In Proc. CIDR’15 (2015) [Google Scholar]
  7. K. Masui, Bitshuffle https://github.com/kiyo-masui/bitshuffle (2018) [Google Scholar]

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