• DocumentCode
    2030084
  • Title

    Minecraft computer game performance analysis and network traffic emulation by a custom bot

  • Author

    Alstad, Trevor ; Duncan, J. Riley ; Detlor, Simon ; French, Brad ; Caswell, Heath ; Ouimet, Zane ; Khmelevsky, Youry ; Hains, Gaetan ; Bartlett, Rob ; Needham, Alex

  • Author_Institution
    COSC Dept., Okanagan Coll., Kelowna, BC, Canada
  • fYear
    2015
  • fDate
    28-30 July 2015
  • Firstpage
    227
  • Lastpage
    236
  • Abstract
    To simulate player traffic within the game we developed an automated bot for a popular online game Minecraft. The first emulation goal was for the bot to realistically replicate network traffic that a normal player would use while playing the game. The second emulation goal was to investigate the maximum possible workload on a virtual multicores and multi-CPUs CentOS server by running different number of active Minecraft games on many cores of the multi-CPU servers simultaneously. We created a scriptable bot capable of performing many common game actions, while generating comparable traffic to that of a player. This facilitates network and game server world optimization. It is allowed us to create a new testing and emulation environment to investigation network and server performance in our virtual Gaming Private Network (GPN) infrastructure.
  • Keywords
    computer games; computer networks; software agents; virtual private networks; Minecraft computer game performance analysis; active Minecraft games; automated bot; custom bot; emulation environment; game actions; game server world optimization; multiCPU CentOS server; multiCPU servers; network performance; network traffic emulation; online game; player traffic; scriptable bot; virtual GPN infrastructure; virtual gaming private network infrastructure; virtual multicore; Computer architecture; Emulation; Games; Performance analysis; Servers; Testing; Unified modeling language;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Science and Information Conference (SAI), 2015
  • Conference_Location
    London
  • Type

    conf

  • DOI
    10.1109/SAI.2015.7237149
  • Filename
    7237149