• DocumentCode
    2182061
  • Title

    A packet-level traffic model of Starcraft

  • Author

    Dainotti, Alberto ; Pescape, Antonio ; Ventre, Giorgio

  • Author_Institution
    Napoli Univ., Naples, Italy
  • fYear
    2005
  • fDate
    38554
  • Firstpage
    33
  • Lastpage
    42
  • Abstract
    Starcraft is a popular real time strategy game that uses a peer-to-peer network communication model. In this paper we analyze its traffic and we provide a statistical characterization at packet-level obtained by varying the number of players. We examine the time dynamics between individual packets within a game session as well as the packet sizes. Also, we provide analytical models approximating the empirical distributions found, we study properties of the tails and of the auto-correlation function, and we investigate the presence of self-similarity. The results obtained show how traffic generated by such game has different characteristics from the traffic prevailing on the Internet in past years.
  • Keywords
    computer games; peer-to-peer computing; telecommunication traffic; Starcraft; autocorrelation function; game session; packet size; packet-level traffic model; peer-to-peer network communication model; real time strategy game; self-similarity; statistical characterization; Analytical models; Character generation; Computer industry; Games; IP networks; Internet; Peer to peer computing; Telecommunication traffic; Toy industry; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hot Topics in Peer-to-Peer Systems, 2005. HOT-P2P 2005. Second International Workshop on
  • Print_ISBN
    0-7695-2417-6
  • Type

    conf

  • DOI
    10.1109/HOT-P2P.2005.4
  • Filename
    1517789