Replicating coded content in crowdsourcing-based CDN systems

Yipeng Zhou, Terence H. Chan, Siu Wai Ho, Guoqiao Ye, Di Wu

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)


Recently, crowdsourcing-based content delivery networks (CDN) emerge as a promising technology that can distribute massive video content to a vast number of Internet users by crawling bandwidth and storage resources from Internet end devices. Any ordinary Internet users with excessive resources can be recruited into such systems as mini-servers. Different from edge servers equipped with dedicated resources in traditional CDNs, the resource of a single mini-server is scarce and volatile that can vary severely with time, since its bandwidth is shared by many different applications. How to build a robust high performance crowdsourcing-based CDN system has attracted contributions from both academia and industry, but how to solve the drawback caused by unstable uploading bandwidth is still a challenging problem. So far, a prevalent methodology is to migrate the strategies implemented by traditional CDNs into crowdsourcing-based CDN systems based on the fact that these two kinds of systems share many similarities. In this paper, our argument is that the content delivery time can be reduced by replicating coded content on mini-servers (which is almost useless for edge servers in traditional CDNs) to enable downloading users to automatically adapt their downloading progress with oscillating bandwidth capacity from different mini-servers. Theoretical model is created to derive the performance improvement (evaluated in term of average file downloading time) achieved by our strategy, which is further validated via simulation. This paper not only provides system designers a more efficient content replication solution, but also can push forward the development of the crowdsourcing-based CDNs.

Original languageEnglish
Article number8026166
Pages (from-to)3492-3503
Number of pages12
JournalIEEE Transactions on Circuits and Systems for Video Technology
Issue number12
Early online date6 Sep 2017
Publication statusPublished - Dec 2018
Externally publishedYes


  • Crowdsourcing-based CDN
  • mini-servers
  • coded content
  • replication


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