Open Access
Issue
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
Article Number 01175
Number of page(s) 7
DOI https://doi.org/10.1051/epjconf/202533701175
Published online 07 October 2025
  1. Z.Zhao. Fourth-Generation Synchrotron Light Sources: Principles and Applications. Nature Reviews Physics, 3(8), 555–569(2021). https://doi.org/10.1038/s42254-021-00335-0 [Google Scholar]
  2. X. Li et al., “A high-throughput big-data orchestration and processing system for the High Energy Photon Source,” J Synchrotron Rad, vol. 30, no. 6, Art. no. 6, Nov. 2023, doi: 10.1107/S1600577523006951 [Google Scholar]
  3. A.Kalia, M.Kaminsky, & D.G.Andersen (2016). Design guidelines for high performance RDMA systems. USENIX Annual Technical Conference (USENIX ATC), 437–450. https://www.usenix.org/conference/atc16/technicalsessions/presentation/kalia [Google Scholar]
  4. S.Zeng, F.Qi, L.Han. Research and Evaluation of RoCE in IHEP Data Center[J].The European Physical Journal Conferences, 2021.DOI:10.1051/epjconf/202125102018. [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
  5. Li, Y., Miao, R., Liu, H., Zhu, Y., Yu, M., & Zhang, C. (2020). Understanding RDMA over commodity Ethernet at scale. USENIX Symposium on Networked Systems Design and Implementation (NSDI), 647-665. https://www.usenix.org/conference/nsdi20/presentation/li-yuliang [Google Scholar]
  6. Liu Y, Geng Y D, Bi X X, et al. Mamba: a systematic software solution for beamline experiments at HEPS[J]. 2022.DOI:10.48550/arXiv.2203.17236. [Google Scholar]
  7. Microsoft Azure Networking Team. (2016). DCQCN: Congestion control for RDMA in cloud datacenters. Microsoft Research Whitepaper. https://www.microsoft.com/enus/research/publication/dcqcn-congestion-control-for-large-scale-rdma-deployments/ [Google Scholar]
  8. Handigol, N., Heller, B., & Jeyakumar, V. (2023). P4TELEMETRY: A universal framework for data plane telemetry. ACM SIGCOMM Conference, 45-58. https://doi.org/10.1145/3570361.3570367 [Google Scholar]
  9. Benson, T., Akella, A., & Maltz, D. A. (2010). Network traffic characteristics of data centers in the wild. ACM Internet Measurement Conference (IMC), 267-280. https://doi.org/10.1145/1879141.1879175 [Google Scholar]
  10. [1] Li B, Springer J, Bebis G, et al. A survey of network flow applications[J].Journal of Network & Computer Applications, 2013, 36(2):567-581.DOI:10.1016/j.jnca.2012.12.020. [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.