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Combining ECN and RTT for Datacenter Transport

Authors:

Yibo ZhuAuthors Info & Claims

APNet '17: Proceedings of the First Asia-Pacific Workshop on Networking

Pages 36 - 42

https://doi.org/10.1145/3106989.3107002

Published: 03 August 2017 Publication History

Abstract

Datacenter transports should provide low average and tail flow completion times (FCT) to achieve desired application performance. While most prior datacenter transports take either ECN or RTT as congestion signal, this paper makes a case that both signals are indispensable: ECN, as a per-hop signal, is more effective to prevent packet loss; while RTT, as an end-to-end signal, controls end-to-end queueing delay better. As persistent low flow completion times imply low queueing delay and near zero packet loss, we introduce EAR, a new datacenter transport that hears and reacts to both ECN and RTT. Our preliminary results show that: 1) compared to delay-based DCTCP, EAR achieves up to 91% lower packet losses and 93% fewer timeouts; 2) compared to ECN-based DCTCP, EAR reduces RTT by up to 32% for cross-rack traffic in a 4-level fattree. As a result, EAR delivers persistent low average and tail completion times under various scenarios in large scale simulations.

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Cited By

Wan ZZhang JWei HJiang ZZhong XWu WZhou HPan THuang T(2024)RECC: Joint Congestion Control Based on RTT and ECN for High-speed RDMA NetworksProceedings of the ACM on Networking10.1145/36964022:CoNEXT4(1-18)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1145/3696402
Xu HZhang XDuan JWu CZuo JZeng XChen CQiu YChen X(2024)MPVSched: Multipath Transmissions and Video Frame Scheduling for Content Delivery Networks2024 International Conference on Networking, Architecture and Storage (NAS)10.1109/NAS63802.2024.10781355(1-4)Online publication date: 9-Nov-2024
https://doi.org/10.1109/NAS63802.2024.10781355
Lu YMa XCui C(2024)DCCSComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2024.110457247:COnline publication date: 18-Jul-2024
https://dl.acm.org/doi/10.1016/j.comnet.2024.110457
Show More Cited By

Index Terms

Combining ECN and RTT for Datacenter Transport
1. Networks
  1. Network protocols
    1. Transport protocols

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cover image ACM Other conferences

APNet '17: Proceedings of the First Asia-Pacific Workshop on Networking

August 2017

127 pages

ISBN:9781450352444

DOI:10.1145/3106989

Copyright © 2017 ACM.

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 ACM 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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Publication History

Published: 03 August 2017

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APNet'17

APNet'17: First Asia-Pacific Workshop on Networking

August 3 - 4, 2017

Hong Kong, China

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Overall Acceptance Rate 50 of 118 submissions, 42%

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Cited By

Wan ZZhang JWei HJiang ZZhong XWu WZhou HPan THuang T(2024)RECC: Joint Congestion Control Based on RTT and ECN for High-speed RDMA NetworksProceedings of the ACM on Networking10.1145/36964022:CoNEXT4(1-18)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1145/3696402
Xu HZhang XDuan JWu CZuo JZeng XChen CQiu YChen X(2024)MPVSched: Multipath Transmissions and Video Frame Scheduling for Content Delivery Networks2024 International Conference on Networking, Architecture and Storage (NAS)10.1109/NAS63802.2024.10781355(1-4)Online publication date: 9-Nov-2024
https://doi.org/10.1109/NAS63802.2024.10781355
Lu YMa XCui C(2024)DCCSComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2024.110457247:COnline publication date: 18-Jul-2024
https://dl.acm.org/doi/10.1016/j.comnet.2024.110457
Hu JLuo WHe YWang JZhang D(2024)Deep Reinforcement Learning Based Load Balancing for Heterogeneous Traffic in Datacenter NetworksAlgorithms and Architectures for Parallel Processing10.1007/978-981-97-0798-0_16(270-289)Online publication date: 1-Mar-2024
https://doi.org/10.1007/978-981-97-0798-0_16
Hu JHuang JLi ZWang JHe T(2023)A Receiver-Driven Transport Protocol With High Link Utilization Using Anti-ECN Marking in Data Center NetworksIEEE Transactions on Network and Service Management10.1109/TNSM.2022.321834320:2(1898-1912)Online publication date: Jun-2023
https://doi.org/10.1109/TNSM.2022.3218343
Ma HXu D(2023)An INT-based TCP window modulator for congestion control in data center networksJournal of Network and Computer Applications10.1016/j.jnca.2023.103688217(103688)Online publication date: Aug-2023
https://doi.org/10.1016/j.jnca.2023.103688
Zeng GBai WChen GChen KHan DZhu YCui L(2022)Congestion Control for Cross-Datacenter NetworksIEEE/ACM Transactions on Networking10.1109/TNET.2022.316158030:5(2074-2089)Online publication date: Oct-2022
https://doi.org/10.1109/TNET.2022.3161580
Hu SZeng GBai WWang ZQiao BChen KTan KWang Y(2022)Aeolus: A Building Block for Proactive Transport in Datacenter NetworksIEEE/ACM Transactions on Networking10.1109/TNET.2021.311998630:2(542-556)Online publication date: Apr-2022
https://doi.org/10.1109/TNET.2021.3119986
Zeng GChen LYi BChen K(2022)Cutting Tail Latency in Commodity Datacenters with CloudburstIEEE INFOCOM 2022 - IEEE Conference on Computer Communications10.1109/INFOCOM48880.2022.9796898(600-609)Online publication date: 2-May-2022
https://dl.acm.org/doi/10.1109/INFOCOM48880.2022.9796898
Bhutta AAhmed H(2022)Edge-Based Congestion-Aware Datacenter Load Balancing with Smart ProbingThe Computer Journal10.1093/comjnl/bxac13566:12(2908-2920)Online publication date: 21-Oct-2022
https://doi.org/10.1093/comjnl/bxac135
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