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Latency can kill: precision and deadline in online games

Published:22 February 2010Publication History

ABSTRACT

The growth in network capacities and availability has been accompanied by a proliferation of online games. While online games perform well under many network conditions, Internet delays can often degrade online game performance. The precise impact that latency has on online gameplay depends upon the game type and the actions within the game. While the effects of latency on specific games has been studied, knowledge about the effects of latency on classes of games and about the effects of latency on different player actions is lacking. This paper presents a broad, perspective-based classification of games based on player control and camera view. The foundation of the game classification are player actions, each of which is defined by its precision and deadline requirements. Experiments with controlled amount of precision, deadline and latency support the classification. This classification of games should prove useful for game designers, network engineers and game players themselves as they build and play on tomorrow's networks.

References

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  1. Latency can kill: precision and deadline in online games

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    • Published in

      cover image ACM Conferences
      MMSys '10: Proceedings of the first annual ACM SIGMM conference on Multimedia systems
      February 2010
      328 pages
      ISBN:9781605589145
      DOI:10.1145/1730836

      Copyright © 2010 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 22 February 2010

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      Acceptance Rates

      MMSys '10 Paper Acceptance Rate25of59submissions,42%Overall Acceptance Rate176of530submissions,33%

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