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Performance analysis of a 1024-port Hipoλaos OPS in DCN, HPC, and 5G fronthauling Ethernet applications

  • N. Terzenidis (Corresponding author)
  • , G. Giamougiannis
  • , A. Tsakyridis
  • , D. Spasopoulos
  • , F. Yan
  • , N. Calabretta
  • , C. Vagionas
  • , N. Pleros

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

The explosive traffic growth of emerging cloud, augmented/virtual reality, artificial intelligence, and 5G applications along with the inherent need for high-bandwidth transport of big data has fueled the expansion of the Ethernet switch market for data centers (DCs), high-performance computers (HPCs), and 5G fronthaul networks. As such, next-generation switches have to be capable of conforming to the requirements of a versatile traffic environment, expanding along DC, HPC, and 5G fronthauling infrastructures while meeting the performance needs of these different application sectors. Within this frame, we experimentally validate for the first time, to the best of our knowledge, the performance of the recently reported Hipoλaos optical packet switch (OPS) within Ethernet-based traffic exchange in DC and 5G fronthaul testbeds, highlighting the credentials of the 1024-port and 10.24 Tb/s capacity OPS to successfully support real-world DC and 5G applications. Error-free unicast and dual-output multicast Ethernet packet transmission at 10 Gb/s are successfully validated for different output ports of the switch, followed by successful server-to-server high-definition video transmission, both when the OPS was employed in the DC as well as in the 5G fronthauling testbed. Network performance and stability over time were confirmed through several measurements carried out through the iperf application suite, revealing submicrosecond end-to-end (Layer 7) latency performance. Finally, an OMNeT++ simulation analysis for an Ethernet-switched Hipoλaos network utilizing real-world application traces collected from the MareNostrum HPC system revealed up to 89% lower latency performance compared to the actual system.

Original languageEnglish
Article number9436772
Pages (from-to)182-192
Number of pages11
JournalJournal of Optical Communications and Networking
Volume13
Issue number7
DOIs
Publication statusPublished - Jul 2021

Funding

FundersFunder number
European Union's Horizon 2020 - Research and Innovation Framework Programme761989, 871658

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