• DocumentCode
    2917234
  • Title

    Large scale network situational awareness via 3D gaming technology

  • Author

    Hubbell, Matthew ; Kepner, Jeremy

  • Author_Institution
    MIT Lincoln Lab., Lexington, MA, USA
  • fYear
    2012
  • fDate
    10-12 Sept. 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Obtaining situational awareness of network activity across an enterprise presents unique visualization challenges. IT analysts are required to quickly gather and correlate large volumes of disparate data to identify the existence of anomalous behavior. This paper will show how the MIT Lincoln Laboratory LLGrid Team has approached obtaining network situational awareness utilizing the Unity 3D video game engine. We have developed a 3D environment of the physical plant in the format of a networked multi player First Person Shooter (FPS) to demonstrate a virtual depiction of the current state of the network and the machines operating on the network. Within the game or virtual world an analyst or player can gather critical information on all network assets as well as perform physical system actions on machines in question. 3D gaming technology provides tools to create an environment that is both visually familiar to the player as well display immense amounts of system data in a meaningful and easy to absorb format. Our prototype system was able to monitor and display 5000 assets in ~10% of the time of our network time window.
  • Keywords
    computer games; data visualisation; 3D gaming technology; FPS; MIT Lincoln Laboratory LLGrid Team; Unity 3D video game engine; large scale network situational awareness; network activity; network assets; networked multiplayer First Person Shooter; virtual world; visualization challenge; Distributed databases; Floors; Games; Laboratories; Monitoring; Ports (Computers); Servers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Extreme Computing (HPEC), 2012 IEEE Conference on
  • Conference_Location
    Waltham, MA
  • Print_ISBN
    978-1-4673-1577-7
  • Type

    conf

  • DOI
    10.1109/HPEC.2012.6408670
  • Filename
    6408670