Open Access
Issue |
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|
|
---|---|---|
Article Number | 01014 | |
Number of page(s) | 8 | |
Section | T1 - Online computing | |
DOI | https://doi.org/10.1051/epjconf/201921401014 | |
Published online | 17 September 2019 |
- The ATLAS Collaboration, Tech. rep., CERN, Geneva (2018), http://cds.cern.ch/record/2285584 [Google Scholar]
- J. Andre, U. Behrens, J. Branson, P. Brummer, O. Chaze, S. Cittolin, C. Contescu, B. Craigs, G. Darlea, C. Deldicque et al., The CMS Data Acquisition-Architectures for the Phase-2 Upgrade, in J Phys Conf Ser (IOP Publishing, 2017) [Google Scholar]
- E.F. Codd, Communications of the ACM 13, 377 (1970) [Google Scholar]
- N. Leavitt, Computer 43 (2010) [PubMed] [Google Scholar]
- A. Davoudian, L. Chen, M. Liu, ACM Computing Surveys 51, 1 (2018) [Google Scholar]
- R. Cattell, ACM SIGMOD Record 39, 12 (2011) [CrossRef] [Google Scholar]
- Redis, https://redis.io/ [Google Scholar]
- Who's using Redis?, https://redis.io/topics/whos-using-redis [Google Scholar]
- M.E. Pozo Astigarraga, Tech. rep., ATL-COM-DAQ-2017-149 (2017) [Google Scholar]
- J. Andre, U. Behrens, J. Branson, P. Brummer, O. Chaze, S. Cittolin, C. Contescu, B. Craigs, G. Darlea, C. Deldicque et al., Performance of the CMS Event Builder, in J Phys Conf Ser (IOP Publishing, 2017), 3, p. 032020 [CrossRef] [Google Scholar]
- G. Decandia, D. Hastorun, M. Jampani, G. Kakulapati, A. Lakshman, A. Pilchin, S. Sivasubramanian, P. Vosshall, W. Vogels, SIGOPS Oper. Syst. Rev. 41, 205 (2007) [CrossRef] [Google Scholar]
- Data AcQuisition DataBase, https://github.com/daq-db/daqdb [Google Scholar]
- A. Rudoff, Login: The Usenix Magazine 42, 34 (2017) [Google Scholar]
- V.J. Marathe, M. Seltzer, S. Byan, T. Harris, Persistent memcached: Bringing legacy code to byte-addressable persistent memory, in 9th {USENIX} Workshop on Hot Topics in Storage and File Systems (HotStorage 17) (2017) [Google Scholar]
- pmem.io: PMDK, http://pmem.io/pmdk/ [Google Scholar]
- Storage Performance Development Kit, http://www.spdk.io/ [Google Scholar]
- V. Leis, A. Kemper, T. Neumann, The adaptive radix tree: ARTful indexing for mainmemory databases, in ICDE'13 (IEEE, 2013), pp. 38–49, ISBN 978-1-4673-4910-9 [Google Scholar]
- T. Li, X. Zhou, K. Brandstatter, D. Zhao, K. Wang, A. Rajendran, Z. Zhang, I. Raicu, ZHT: A light-weight reliable persistent dynamic scalable zero-hop distributed hash table, in IPDPS' 13 (2013), pp. 775–787 [Google Scholar]
- I. Stoica, R. Morris, D. Liben-Nowell, D.R. Karger, M.F. Kaashoek, F. Dabek, H. Balakrishnan, IEEE/ACM Transactions on Networking (TON) 11, 17 (2003) [CrossRef] [Google Scholar]
- A. Kalia, M. Kaminsky, D.G. Andersen, preprint arXiv:1806.00680 (2018) [Google Scholar]
- Redis, enhanced to use PMDK's libpmemobj, https://github.com/pmem/redis/ [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.