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Optimization of Selection Strategies for P2P Streaming Network Based on Daily Users’ Behavior and Users’ Distribution over Time Zones

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Part of the Lecture Notes in Computer Science book series (LNCCN,volume 9870)


In this paper, an optimization problem of selection strategies for peer-to-peer (P2P) live streaming network is discussed. To solve the problem, the simulation model of P2P live streaming network is developed. The model considers daily peers behavior, their distribution over time zones, collisions, time lags between the server and a peer, lags between peers, and three types of selection strategies: neighbor selection strategy, peer selection strategy, and chunk selection strategy. Daily peers’ behavior is defined as the distribution of the number of online users by the time of day. Initial data for the peers distribution over time zones and their daily behavior are taken from the known Internet sources. The aim of the research is to find an appropriate solution of the proposed optimization problem and to show how the choice of a certain set of selection strategies affects the key characteristics of P2P streaming networks. The results of the conducted numerical analysis show the increase of the network performance up to 16,25 %.


  • Peer-to-peer
  • P2P
  • Live streaming network
  • Playback continuity
  • Daily users’ behavior
  • Users’ distribution over time zones
  • Optimization problem
  • Selection strategy

The reported study was partially supported by RFBR, research project No. 14-07-00090.

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The reported study was partially supported by the RFBR, research project No. 14-07-00090. The authors gratefully thank Prof. Konstantin Samouylov for initiating this research and very valuable advice on research design.

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Correspondence to Ivan Vasiliev .

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Gaidamaka, Y., Vasiliev, I. (2016). Optimization of Selection Strategies for P2P Streaming Network Based on Daily Users’ Behavior and Users’ Distribution over Time Zones. In: Galinina, O., Balandin, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. ruSMART NEW2AN 2016 2016. Lecture Notes in Computer Science(), vol 9870. Springer, Cham.

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46300-1

  • Online ISBN: 978-3-319-46301-8

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