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https://doi.org/10.1109/srds.2...
Article . 2011 . Peer-reviewed
Data sources: Crossref
DBLP
Conference object . 2023
Data sources: DBLP
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Transaction Models for Massively Multiplayer Online Games

Authors: Kaiwen Zhang 0001; Bettina Kemme;

Transaction Models for Massively Multiplayer Online Games

Abstract

Massively Multiplayer Online Games are considered large distributed systems where the game state is partially replicated across the server and thousands of clients. Given the scale, game engines typically offer only relaxed consistency without well-defined guarantees. In this paper, we leverage the concept of transactions to define consistency models that are suitable for gaming environments. We define game specific levels of consistency that differ in the degree of isolation and atomicity they provide, and demonstrate the costs associated with their execution. Each action type within a game can then be assigned the appropriate consistency level, choosing the right trade-off between consistency and performance. The issue of durability and fault-tolerance of game actions is also discussed.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Average
Top 10%
Top 10%