Jereczek, Grzegorz and Lehmann Miotto, Giovanna and Malone, David and Walukiewicz, Miroslaw (2017) A Lossless Network for Data Acquisition. IEEE Transactions on Nuclear Science, 64 (6). pp. 1238-1247. ISSN 1558-1578

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Abstract

The bursty many-to-one communication pattern, typical for data acquisition systems, is particularly demanding for commodity TCP/IP and Ethernet technologies. We expand the study of lossless switching in software running on commercial off-the-shelf servers, using the ATLAS experiment as a case study. In this paper, we extend the popular software switch, Open vSwitch, with a dedicated, throughput-oriented buffering mechanism for data acquisition. We compare the performance under heavy congestion on typical Ethernet switches to a commodity server acting as a switch. Our results indicate that software switches with large buffers perform significantly better. Next, we evaluate the scalability of the system when building a larger topology of interconnected software switches, exploiting the integration with software-defined networking technologies. We build an IP-only leaf-spine network consisting of eight software switches running on distinct physical servers as a demonstrator.

Item Type:	Article
Additional Information:	This work was supported by a Marie Curie Early European Industrial Doctorates Fellowship of the European Community’s Seventh Framework Programme under Contract PITN-GA-2012-316596-ICEDIP.
Keywords:	Computer network management; data acquisition; Ethernet networks; packet loss; packet switching; software-defined networking (SDN); TCP/IP;
Academic Unit:	Faculty of Science and Engineering > Mathematics and Statistics Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	11644
Identification Number:	https://doi.org/10.1109/TNS.2017.2682182
Depositing User:	Dr. David Malone
Date Deposited:	05 Nov 2019 17:29
Journal or Publication Title:	IEEE Transactions on Nuclear Science
Publisher:	IEEE
Refereed:	Yes
Funders:	European Community’s Seventh Framework Programme
URI:	https://ieeexplore.ieee.org
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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