Open Access
| Issue |
EPJ Web of Conf.
Volume 295, 2024
26th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2023)
|
|
|---|---|---|
| Article Number | 01053 | |
| Number of page(s) | 9 | |
| Section | Data and Metadata Organization, Management and Access | |
| DOI | https://doi.org/10.1051/epjconf/202429501053 | |
| Published online | 06 May 2024 | |
- G. Behrmann, P. Fuhrmann, M. Grønager, J. Kleist, A distributed storage system with dCache, Journal of Physics: Conference Series 119 (2008) [Google Scholar]
- M. Ernst, P. Fuhrmann, M. Gasthuber, T. Mkrtchyan, C. Waldman, dcache, a distributed storage data caching system, Journal of Physics: Conference Series (2001) [Google Scholar]
- Y. Wang, K. Wu, A. Sim, S. Yoo, S. Misawa, Access Patterns to Disk Cache for Large Scientific Archive, in ACM International Workshop on Systems and Network Telemetry and Analytics (2020), pp. 37–40 [Google Scholar]
- P.K. Patra, M. Sahu, S. Mohapatra, R.K. Samantray, File access prediction using neural networks, IEEE Transactions on Neural Networks 21, 869 (2010) [CrossRef] [PubMed] [Google Scholar]
- R.W. Watson, R.A. Coyne, The Parallel I/O Architecture of the High-Performance Storage System (HPSS), in Proceedings of the 14th IEEE Symposium on Mass Storage Systems (1995), ISBN 0818670649 [Google Scholar]
- R. García, J.P. de Castro, M.J. Verdú, E. Verdú, L.M. Regueras, P. López, An Adaptive Neural Network-Based Method for Tile Replacement in a Web Map Cache, in International Conference on Computational Science and Its Applications (ICCSA) (2011), pp. 76–91 [Google Scholar]
- V. Fedchenko, G. Neglia, B. Ribeiro, Feedforward neural networks for caching: N enough or too much?, ACM SIGMETRICS performance evaluation review 46, 139 (2019) [CrossRef] [Google Scholar]
- M. Hashemi, K. Swersky, J.A. Smith, G. Ayers, H. Litz, J. Chang, C. Kozyrakis, P. Ranganathan, Learning memory access patterns, CoRR (2018), 1803.02329 [Google Scholar]
- D.P. Kingma, J. Ba, Adam: A method for stochastic optimization, arXiv (2017), 1412.6980 [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.