Livejack: Integrating CDNs and edge clouds for live content broadcasting

Bo Yan, Shu Shi, Yong Liu, Weizhe Yuan, Haoqin He, Rittwik Jana, Yang Xu, H. Jonathan Chao

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

Abstract

Emerging commercial live content broadcasting platforms are facing great challenges to accommodate large scale dynamic viewer populations. Existing solutions constantly suffer from balancing the cost of deploying at the edge close to the viewers and the quality of content delivery. We propose Livejack, a novel network service to allow CDN servers to seamlessly leverage ISP edge cloud resources. Livejack can elastically scale the serving capacity of CDN servers by integrating Virtual Media Functions (VMF) in the edge cloud to accommodate flash crowds for very popular contents. Livejack introduces minor application layer changes for streaming service providers and is completely transparent to end users. We have prototyped Livejack in both LAN and WAN environments. Evaluations demonstrate that Livejack can increase CDN server capacity by more than six times, and can effectively accommodate highly dynamic workloads with an improved service quality.

Original languageEnglish (US)
Title of host publicationMM 2017 - Proceedings of the 2017 ACM Multimedia Conference
PublisherAssociation for Computing Machinery, Inc
Pages73-81
Number of pages9
ISBN (Electronic)9781450349062
DOIs
StatePublished - Oct 23 2017
Event25th ACM International Conference on Multimedia, MM 2017 - Mountain View, United States
Duration: Oct 23 2017Oct 27 2017

Publication series

NameMM 2017 - Proceedings of the 2017 ACM Multimedia Conference

Other

Other25th ACM International Conference on Multimedia, MM 2017
CountryUnited States
CityMountain View
Period10/23/1710/27/17

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Media Technology
  • Computer Vision and Pattern Recognition
  • Software

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