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Jupiter evolving: transforming google's datacenter network via optical circuit switches and software-defined networking

SIGCOMM '22: Proceedings of the ACM SIGCOMM 2022 Conference

Pages 66 - 85

https://doi.org/10.1145/3544216.3544265

Published: 22 August 2022 Publication History

Abstract

We present a decade of evolution and production experience with Jupiter datacenter network fabrics. In this period Jupiter has delivered 5x higher speed and capacity, 30% reduction in capex, 41% reduction in power, incremental deployment and technology refresh all while serving live production traffic. A key enabler for these improvements is evolving Jupiter from a Clos to a direct-connect topology among the machine aggregation blocks. Critical architectural changes for this include: A datacenter interconnection layer employing Micro-Electro-Mechanical Systems (MEMS) based Optical Circuit Switches (OCSes) to enable dynamic topology reconfiguration, centralized Software-Defined Networking (SDN) control for traffic engineering, and automated network operations for incremental capacity delivery and topology engineering. We show that the combination of traffic and topology engineering on direct-connect fabrics achieves similar throughput as Clos fabrics for our production traffic patterns. We also optimize for path lengths: 60% of the traffic takes direct path from source to destination aggregation blocks, while the remaining transits one additional block, achieving an average block-level path length of 1.4 in our fleet today. OCS also achieves 3x faster fabric reconfiguration compared to pre-evolution Clos fabrics that used a patch panel based interconnect.

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Cited By

Sakumoto HNakayama TMiyatake YToprasertpong KTakagi STakenaka M(2024)Numerical evaluation of bandwidth and optical loss in InP-organic hybrid optical modulator with doping optimizationJapanese Journal of Applied Physics10.35848/1347-4065/ad189b63:2(02SP52)Online publication date: 17-Jan-2024
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Li WRen MLiu YLi CQian HZhang Z(2024)Congestion Control Mechanism Based on Backpressure Feedback in Data Center NetworksFuture Internet10.3390/fi1604013116:4(131)Online publication date: 15-Apr-2024
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Xie ZSánchez-Jácome DTorrijos-Morán LPérez-López D(2024)Software-defined optical networking applications enabled by programmable integrated photonicsJournal of Optical Communications and Networking10.1364/JOCN.52150516:8(D10)Online publication date: 10-Jun-2024
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Index Terms

Jupiter evolving: transforming google's datacenter network via optical circuit switches and software-defined networking
1. Networks

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cover image ACM Conferences

SIGCOMM '22: Proceedings of the ACM SIGCOMM 2022 Conference

August 2022

858 pages

ISBN:9781450394208

DOI:10.1145/3544216

General Chairs:
Fernando Kuipers
Delft University of Technology
,
Ariel Orda
Technion Israel Institute of Technology

Copyright © 2022 Owner/Author.

This work is licensed under a Creative Commons Attribution International 4.0 License.

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Published: 22 August 2022

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Cited By

Sakumoto HNakayama TMiyatake YToprasertpong KTakagi STakenaka M(2024)Numerical evaluation of bandwidth and optical loss in InP-organic hybrid optical modulator with doping optimizationJapanese Journal of Applied Physics10.35848/1347-4065/ad189b63:2(02SP52)Online publication date: 17-Jan-2024
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Li WRen MLiu YLi CQian HZhang Z(2024)Congestion Control Mechanism Based on Backpressure Feedback in Data Center NetworksFuture Internet10.3390/fi1604013116:4(131)Online publication date: 15-Apr-2024
https://doi.org/10.3390/fi16040131
Xie ZSánchez-Jácome DTorrijos-Morán LPérez-López D(2024)Software-defined optical networking applications enabled by programmable integrated photonicsJournal of Optical Communications and Networking10.1364/JOCN.52150516:8(D10)Online publication date: 10-Jun-2024
https://doi.org/10.1364/JOCN.521505
Qin LGu HYu XCai ZLiu J(2024)Orchid: enhancing HPC interconnection networks through infrequent topology reconfigurationJournal of Optical Communications and Networking10.1364/JOCN.51603116:6(644)Online publication date: 21-May-2024
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Li WYuan GWang ZTan GZhang PRouskas G(2024)Fast and scalable all-optical network architecture for distributed deep learningJournal of Optical Communications and Networking10.1364/JOCN.51169616:3(342)Online publication date: 22-Feb-2024
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Wu ZYuan Dai LWang YWang SBergman K(2024)Flexible silicon photonic architecture for accelerating distributed deep learningJournal of Optical Communications and Networking10.1364/JOCN.49737216:2(A157)Online publication date: 9-Jan-2024
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Willis PShenoy NPan YStackpole B(2024)Investigating Data Center Network ProtocolsProceedings of the 2024 Applied Networking Research Workshop10.1145/3673422.3674897(91-93)Online publication date: 23-Jul-2024
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Lei YDe Marchi FJoshi RLi JChandrasekaran BXia YSekar VYu MSeneviratne AVeitch D(2024)DEMO: An Open Research Framework for Optical Data Center NetworksProceedings of the ACM SIGCOMM 2024 Conference: Posters and Demos10.1145/3672202.3673712(86-88)Online publication date: 4-Aug-2024
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