Beyond fat-trees without antennae, mirrors, and disco-balls

Simon Kassing, Asaf Valadarsky, Gal Shahaf, Michael Schapira, Ankit Singla

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

70 Scopus citations

Abstract

Recent studies have observed that large data center networks often have a few hotspots while most of the network is underutilized. Consequently, numerous data center network designs have explored the approach of identifying these communication hotspots in real-time and eliminating them by leveraging flexible optical or wireless connections to dynamically alter the network topology. These proposals are based on the premise that statically wired network topologies, which lack the opportunity for such online optimization, are fundamentally inefficient, and must be built at uniform full capacity to handle unpredictably skewed traffic. We show this assumption to be false. Our results establish that state-of-the-art static networks can also achieve the performance benefits claimed by dynamic, reconfigurable designs of the same cost: for the skewed traffic workloads used to make the case for dynamic networks, the evaluated static networks can achieve performance matching full-bandwidth fat-trees at two-thirds of the cost. Surprisingly, this can be accomplished even without relying on any form of online optimization, including the optimization of routing configuration in response to the traffic demands. Our results substantially lower the barriers for improving upon today's data centers by showing that a static, cabling-friendly topology built using commodity equipment yields superior performance when combined with well-understood routing methods.

Original languageAmerican English
Title of host publicationSIGCOMM 2017 - Proceedings of the 2017 Conference of the ACM Special Interest Group on Data Communication
PublisherAssociation for Computing Machinery, Inc
Pages281-294
Number of pages14
ISBN (Electronic)9781450346535
DOIs
StatePublished - 7 Aug 2017
Event2017 Conference of the ACM Special Interest Group on Data Communication, SIGCOMM 2017 - Los Angeles, United States
Duration: 21 Aug 201725 Aug 2017

Publication series

NameSIGCOMM 2017 - Proceedings of the 2017 Conference of the ACM Special Interest Group on Data Communication

Conference

Conference2017 Conference of the ACM Special Interest Group on Data Communication, SIGCOMM 2017
Country/TerritoryUnited States
CityLos Angeles
Period21/08/1725/08/17

Bibliographical note

Publisher Copyright:
© 2017 ACM.

Keywords

  • Data center
  • Routing
  • Topology

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