Improving TCP robustness over asymmetry with reordering marking and coding in data centers

Shaojun Zou, Jiawei Huang, Jianxin Wang, Tian He

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

Modern data center networks provide multiple paths between host pairs to guarantee high aggregated network bandwidth and transmission reliability. However, data center networks suffer from various uncertainties such as highly dynamic traffic and heterogeneous devices. These uncertainties easily lead to network asymmetry and cause significant packet reordering. Unfortunately, due to lacking the explicit reordering feedback, existing sender-based and receiver-based solutions hardly adapt to asymmetric data center networks and cause long-tailed flow completion time as well as throughput loss. In this paper, we propose a per-packet transmission scheme RMC to eliminate the impact of packet reordering and handle uncertainties in asymmetric networks. To avoid unnecessary fast retransmission, the switch proactively identifies packet reordering according to local queue length and global path latency. Furthermore, we employ a coding technique to reduce long-tailed flow completion time under network asymmetry. Through a series of large-scale NS2 simulations and testbed experiments, we demonstrate that RMC reduces flow completion time by up to 72% compared with existing protocols.

Original languageEnglish (US)
Title of host publicationProceedings - 2019 39th IEEE International Conference on Distributed Computing Systems, ICDCS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages57-67
Number of pages11
ISBN (Electronic)9781728125190
DOIs
StatePublished - Jul 2019
Event39th IEEE International Conference on Distributed Computing Systems, ICDCS 2019 - Richardson, United States
Duration: Jul 7 2019Jul 9 2019

Publication series

NameProceedings - International Conference on Distributed Computing Systems
Volume2019-July

Conference

Conference39th IEEE International Conference on Distributed Computing Systems, ICDCS 2019
Country/TerritoryUnited States
CityRichardson
Period7/7/197/9/19

Bibliographical note

Funding Information:
This work is supported by the National Natural Science Foundation of China (61872387, 61572530, 61872403), CER-NET Innovation Project (Grant No. NGII20170107), and Fundamental Research Funds for Central Universities of Central South University (No. 2017zzts142).

Publisher Copyright:
© 2019 IEEE.

Keywords

  • Data center
  • Marking
  • Network asymmetry
  • Packet reordering

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