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Matrix: Adaptive Middleware for Distributed Multiplayer Games

  • Rajesh Krishna Balan
  • Maria Ebling
  • Paul Castro
  • Archan Misra
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3790)

Abstract

Building a distributed middleware infrastructure that provides the low latency required for massively multiplayer games while still maintaining consistency is non-trivial. Previous attempts have used static partitioning or client-based peer-to-peer techniques that do not scale well to a large number of players, perform poorly under dynamic workloads or hotspots, and impose significant programming burdens on game developers. We show that it is possible to build a scalable distributed system, called Matrix, that is easily usable by game developers. We show experimentally that Matrix provides good performance, especially when hotspots occur.

Keywords

Online Game Localize Consistency Game World Static Partitioning Game Developer 
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

© IFIP International Federation for Information Processing 2005

Authors and Affiliations

  • Rajesh Krishna Balan
    • 1
  • Maria Ebling
    • 2
  • Paul Castro
    • 2
  • Archan Misra
    • 2
  1. 1.Carnegie Mellon UniversityPittsburghUSA
  2. 2.IBM Research WatsonHawthorneUSA

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