Multimedia Systems

, Volume 20, Issue 5, pp 609–620 | Cite as

On synthetic workloads for multiplayer online games: a methodology for generating representative shooter game workloads

  • Max Lehn
  • Tonio Triebel
  • Robert Rehner
  • Benjamin Guthier
  • Stephan Kopf
  • Alejandro Buchmann
  • Wolfgang Effelsberg
Special Issue Paper


We present approaches to the generation of synthetic workloads for benchmarking multiplayer online gaming infrastructures. Existing techniques, such as mobility or traffic models, are often either too simple to be representative for this purpose or too specific for a particular network structure. Desirable properties of a workload are reproducibility, representativeness, and scalability to any number of players. We analyze different mobility models and AI-based workload generators. Real gaming sessions with human players using the prototype game Planet PI4 serve as a reference workload. Novel metrics are used to measure the similarity between real and synthetic traces with respect to neighborhood characteristics. We found that, although more complicated to handle, AI players reproduce real workload characteristics more accurately than mobility models.


Mobility Model Game World Game Session Gaming Behavior Game Event 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Max Lehn
    • 1
  • Tonio Triebel
    • 2
  • Robert Rehner
    • 1
  • Benjamin Guthier
    • 2
  • Stephan Kopf
    • 2
  • Alejandro Buchmann
    • 1
  • Wolfgang Effelsberg
    • 2
  1. 1.Databases and Distributed SystemsTechnische Universität DarmstadtDarmstadtGermany
  2. 2.Department of Computer Science IVUniversität MannheimMannheimGermany

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