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Server-based bitrate allocation in content delivery network

  • Dongyan Zhang
  • , Hui He
  • , Weihua Li
  • University of Science and Technology Beijing
  • School of Computer Science and Technology, Harbin Institute of Technology
  • PowerInfo Co., Ltd.

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

Abstract

Today, with the rapid development of video streaming, concurrence video transmission traffic is increasing on communication channels. Each type of video streaming has various bit rates and demands a certain range of transmission rate. This creates conflicts among these data when the available bandwidth is limited. In this paper, we propose a server-side-based rate allocation algorithm under Content Delivery Network(CDN). Instead of just considering bit rate selection from the perspective of network condition and client condition, we combine user experience with video bit rate allocation to improve viewer engagement to the greatest extent. Our aim is to enable both content providers and CDNs to make greater fortune with guaranteed video quality while uses are watching programs. Through test bed experiments and analysis, we demonstrate that high-value clients can achieve preferable bitrates comparing to HTTP live streaming(HLS) algorithm developed by Apple Inc. So it will bring CDNs preferable revenue.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015
EditorsJianhua Ma, Ali Li, Huansheng Ning, Laurence T. Yang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages779-785
Number of pages7
ISBN (Electronic)9781467372114
DOIs
StatePublished - 20 Jul 2016
Externally publishedYes
EventProceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015 - Beijing, China
Duration: 10 Aug 201514 Aug 2015

Publication series

NameProceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015

Conference

ConferenceProceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015
Country/TerritoryChina
CityBeijing
Period10/08/1514/08/15

Keywords

  • Bit rate
  • Content delivery network
  • Rate adaptation
  • Video streaming

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