Issue |
EPJ Web Conf.
Volume 245, 2020
24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
|
|
---|---|---|
Article Number | 07018 | |
Number of page(s) | 7 | |
Section | 7 - Facilities, Clouds and Containers | |
DOI | https://doi.org/10.1051/epjconf/202024507018 | |
Published online | 16 November 2020 |
https://doi.org/10.1051/epjconf/202024507018
Unroutable Traffic: Maintaining Trust and Integrity of the LHC Open Network Environment
1
Karlsruhe Inst. of Tech. (KIT), Herm. von Helmholtz Pl. 1, 76344 Eggenstein-Leopoldsh., Germany
2
NORDUnet, Tulegatan 11, 2tr. SE-113 53 Stockholm Sweden
3
ESnet, Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley, CA 94720, US
Published online: 16 November 2020
This paper explores the methods and results confirming the baseline assumption that LHCONE[1] (Large Hadron Collider Open Network Environment) traffic is science traffic. The LHCONE is a network conceived to support globally distributed collaborative science. LHCONE connects thousands of researchers to Large Hadron Collider (LHC) datasets at hundreds of universities and labs performing analysis within the global collaboration on high-energy physics. It is “Open” to all levels of the LHC as well as a short list of approved non-LHC science collaborations. LHCONE satisfies the need for a high performance global data transfer network of supporting scientific analysis. Even though LHCONE is a closed virtual private network, packets from non-LHCONE sites were found within the network on multiple occasions. This paper describes the findings, discusses the reasons and proposes some ideas on how to prevent “unroutable LHCONE packets” in order to maintain trust and integrity within the network.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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.