Analyzing streaming performance in crowdsourcing-based video service systems

Yipeng Zhou, Liang Chen, Mi Jing, Zhong Ming, Dah Ming Chiu

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

2 Citations (Scopus)

Abstract

Crowdsourcing-based video service systems, e.g., Thunder Crystal, are novel content distribution platforms composed by a large number of agent devices, acting like miniservers. Most agents are normal Internet users who would like to earn rewarded cash by uploading content through their devices. Compared with CDN, the bandwidth cost is much cheaper; while compared with Peer-to-Peer(P2P), the bandwidth supply is more stable. In this work, we create a stochastic model to analyze the live and VoD streaming performance in such crowdsourcingbased video service systems. Simulation is conducted to validate the accuracy of our analytical results.
Original languageEnglish
Title of host publication2015 IEEE 21st International Workshop on Local and Metropolitan Area Networks (LANMAN)
PublisherIEEE:Institute of Electrical Electronics Engineers Inc
Pages1-6
Number of pages6
ISBN (Electronic)9781467367622
DOIs
Publication statusPublished - 2015
Externally publishedYes
Event21st IEEE International Workshop on Local and Metropolitan Area Networks, LANMAN 2015 - Tsinghua, Beijing, China
Duration: 22 Apr 201524 Apr 2015

Conference

Conference21st IEEE International Workshop on Local and Metropolitan Area Networks, LANMAN 2015
CountryChina
CityTsinghua, Beijing
Period22/04/1524/04/15

Keywords

  • crowdsourcing
  • content distribution
  • video streaming
  • Content Distribution
  • Crowdsourcing
  • Video Streaming

Fingerprint Dive into the research topics of 'Analyzing streaming performance in crowdsourcing-based video service systems'. Together they form a unique fingerprint.

Cite this