Skip to main navigation Skip to search Skip to main content

DC2-MTCP: Light-Weight Coding for Efficient Multi-Path Transmission in Data Center Network

  • Jiyan Sun
  • , Yan Zhang
  • , Xin Wang
  • , Shihan Xiao
  • , Zhen Xu
  • , Hongjing Wu
  • , Xin Chen
  • , Yanni Han
  • CAS - Institute of Information Engineering
  • Stony Brook University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

Multi-path TCP has recently shown great potential to take advantage of the rich path diversity in data center networks (DCN) to increase transmission throughput. However, the small flows, which take a large fraction of data center traffic, will easily get a timeout when split onto multiple paths. Moreover, the dynamic congestions and node failures in DCN will exacerbate the reorder problem of parallel multi-path transmissions for large flows. In this paper, we propose DC2-MTCP (Data Center Coded Multi-path TCP), which employs a fast and light-weight coding method to address the above challenges while maintaining the benefit of parallel multi-path transmissions. To meet the high flow performance in DCN, we insert a very low ratio of coded packets with a careful selection of the packets to be coded. We further present a progressive decoding algorithm to decode the packets online with a low time complexity. Extensive ns2-based simulations show that with two orders of magnitude lower coding delay, DC2-MTCP can reduce on average 40% flow completion time for small flows and increase 30% flow throughput for large flows compared to the peer schemes in varying network conditions.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE 31st International Parallel and Distributed Processing Symposium, IPDPS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages419-428
Number of pages10
ISBN (Electronic)9781538639146
DOIs
StatePublished - Jun 30 2017
Event31st IEEE International Parallel and Distributed Processing Symposium, IPDPS 2017 - Orlando, United States
Duration: May 29 2017Jun 2 2017

Publication series

NameProceedings - 2017 IEEE 31st International Parallel and Distributed Processing Symposium, IPDPS 2017

Conference

Conference31st IEEE International Parallel and Distributed Processing Symposium, IPDPS 2017
Country/TerritoryUnited States
CityOrlando
Period05/29/1706/2/17

Keywords

  • Data center networks
  • MPTCP
  • Network coding

Fingerprint

Dive into the research topics of 'DC2-MTCP: Light-Weight Coding for Efficient Multi-Path Transmission in Data Center Network'. Together they form a unique fingerprint.

Cite this