Fibbing in action: On-demand load-balancing for better video delivery

Olivier Tilmans, Stefano Vissicchio, Laurent Vanbever, Jennifer L. Rexford

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

11 Scopus citations

Abstract

Video streaming, in conjunction with social networks, have given birth to a new traffic pattern over the Internet: transient, localized traffic surges, known as flash crowds. Traditional traffic-engineering methods can hardly cope with these surges, as they are unpredictable by nature. Consequently, networks either have to be overprovisioned, which is expensive and wastes resources, or risk to periodically incur congestion, which infuriates customers. This demonstration shows how Fibbing [1] can improve network performance and preserve users' quality of experience when accessing video streams, by implementing a fine-grained load-balancing service. This service leverages two unique features of Fibbing: programming per destination load-balancing and implementing uneven splitting ratios.

Original languageEnglish (US)
Title of host publicationSIGCOMM 2016 - Proceedings of the 2016 ACM Conference on Special Interest Group on Data Communication
PublisherAssociation for Computing Machinery, Inc
Pages619-620
Number of pages2
ISBN (Electronic)9781450341936
DOIs
StatePublished - Aug 22 2016
Event2016 ACM Conference on Special Interest Group on Data Communication, SIGCOMM 2016 - Florianopolis, Brazil
Duration: Aug 22 2016Aug 26 2016

Publication series

NameSIGCOMM 2016 - Proceedings of the 2016 ACM Conference on Special Interest Group on Data Communication

Other

Other2016 ACM Conference on Special Interest Group on Data Communication, SIGCOMM 2016
Country/TerritoryBrazil
CityFlorianopolis
Period8/22/168/26/16

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Communication
  • Computer Networks and Communications
  • Signal Processing

Keywords

  • Fibbing
  • Link-state routing
  • Traffic engineering

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