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Software-defined networks in large-scale radio telescopes

Published: 15 May 2017 Publication History

Abstract

Traditional networks are relatively static and rely on a complex stack of interoperating protocols for proper operation. Modern large-scale science instruments, such as radio telescopes, consist of an interconnected collection of sensors generating large quantities of data, transported over high-bandwidth IP over Ethernet networks. The concept of a software-defined network (SDN) has recently gained popularity, moving control over the data flow to a programmable software component, the network controller. In this paper we explore the viability of such an SDN in sensor networks typical of future large-scale radio telescopes, such as the Square Kilometre Array (SKA). Based on experience with the LOw Frequency ARray (LOFAR), a recent radio telescope, we show that the addition of such software control adds to the reliability and flexibility of the instrument. We identify some essential technical SDN requirements for this application, and investigate the level of functional support on three current switches and a virtual software switch. A proof of concept application validates the viability of this concept. While we identify limitations in the SDN implementations and performance of two of our hardware switches, excellent performance is shown on a third.

References

[1]
Henri Bal, Dick Epema, Cees de Laat, Rob van Nieuwpoort, John Romein, Frank Seinstra, Cees Snoek, and Harry Wijshoff. 2016. A Medium-Scale Distributed System for Computer Science Research: Infrastructure for the Long Term. IEEE Computer 49, 5 (May 2016), 54--63.
[2]
P. Chris Broekema. 2015. Improving sensor network robustness and flexibility using software-defined networks. Technical Report SKA-TEL-SDP-0000021. ASTRON.
[3]
Nick McKeown, Tom Anderson, Hari Balakrishnan, Guru Parulkar, Larry Peterson, Jennifer Rexford, Scott Shenker, and Jonathan Turner. 2008. OpenFlow: enabling innovation in campus networks. ACM SIGCOMM Computer Communication Review 38, 2 (2008), 69--74.

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  • (2024)SDN-Based Multicast Traffic Engineering for Radio Telescope Data NetworksIEEE Networking Letters10.1109/LNET.2023.33199656:1(65-69)Online publication date: Mar-2024

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cover image ACM Conferences
CF'17: Proceedings of the Computing Frontiers Conference
May 2017
450 pages
ISBN:9781450344876
DOI:10.1145/3075564
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 May 2017

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  • Short-paper
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  • Refereed limited

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CF '17
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CF '17: Computing Frontiers Conference
May 15 - 17, 2017
Siena, Italy

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CF'17 Paper Acceptance Rate 43 of 87 submissions, 49%;
Overall Acceptance Rate 273 of 785 submissions, 35%

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  • (2024)SDN-Based Multicast Traffic Engineering for Radio Telescope Data NetworksIEEE Networking Letters10.1109/LNET.2023.33199656:1(65-69)Online publication date: Mar-2024

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