Multimedia contents dissemination with gossip algorithms in distributed social networks

  • Authors:
  • Bo Yang;Guangxi Zhu;Weimin Wu

  • Affiliations:
  • Huazhong University of Science and Technology, Wuhan, China;Huazhong University of Science and Technology, Wuhan, China;Huazhong University of Science and Technology, Wuhan, China

  • Venue:
  • Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
  • Year:
  • 2013

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Abstract

This paper studies the dissemination of multimedia contents in distributed social networks, which are composed of a set of smart handsets. Gossip algorithms are used to spread social multimedia contents in a decentralized way with robustness and simplicity. The performance of gossip algorithms is analyzed and an upper bound on the convergence time is obtained. Simulation results show that each user requires only about 12 iterations on average to obtain 100 contents in the network and the communication cost for each user does not grow when the scale of the network becomes larger. The dynamic topology of the network due to mobility is considered as well, which is proved to be able to significantly reduce the communication cost.