1 / 10

Leveraging Active Networks for Enhanced Protocols in Doom Simulation

This study investigates the integration of active networks with traditional protocols to optimize the multiplayer experience in the classic game Doom. It focuses on key aspects such as the reliability, low-latency requirements, and the unique properties of peer-to-peer interactions within the game engine framework. By employing in-network processing techniques and application-aware servers, our results indicate a 38% reduction in data sent due to effective compression and a quadrupled update rate. This approach demonstrates scalability and efficiency in managing game data, paving the way for improved interactive simulations.

oscar-bailey
Download Presentation

Leveraging Active Networks for Enhanced Protocols in Doom Simulation

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Active Applying active networks to traditional protocols Austin Clements Park City High School Patrick Tullmann, Jay Lepreau University of Utah Flux Research Group

  2. Focus • Real application, real protocol • Identify exploitable properties • Doom-specific in-network processing

  3. Doom • Multi-user, peer-to-peer, interactive simulation

  4. Doom Topology

  5. Properties of the Protocol • Game engine requirements: totally ordered, reliable, complete update stream • Implementation: unicast • Lock-step nature • Reliability is vital • Low-latency is vital

  6. In-network Processing • Application aware servers • In-network application-level totally ordered multicast • Aggregation • Compression

  7. Active Doom Topology

  8. Evaluation and Conclusion • Scalability • Bandwidth • Latency Initial results • Simulation: • Factor of <# of clients> decrease in sent data • 38% less data, due to compression • Implementation: 4x increased update rate

  9. Evaluation and Conclusion http://www.cs.utah.edu/flux/ Initial results • Simulation: • Factor of <# of clients> decrease in sent data • 38% less data, due to compression • Implementation: 4x increased update rate

  10. This slide intentionally left mostly blank

More Related