Matrix: Adaptive Middleware for Distributed Multiplayer Games

by: Rajesh Balan, Maria Ebling, Paul Castro, Archan Misra

Middleware 2005 (2005), pp. 390-400.

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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.

@incollection{citeulike:1828660, 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.}, author = {Balan, Rajesh and Ebling, Maria and Castro, Paul and Misra, Archan }, citeulike-article-id = {1828660}, doi = {http://dx.doi.org/10.1007/11587552\_20}, journal = {Middleware 2005}, keywords = {middleware, networked\_games}, pages = {390--400}, posted-at = {2007-10-27 10:45:20}, priority = {2}, title = {Matrix: Adaptive Middleware for Distributed Multiplayer Games}, url = {http://dx.doi.org/10.1007/11587552\_20}, year = {2005} }

RIS record

TY - CHAP ID - citeulike:1828660 L3 - citeulike-article-id:1828660 N2 - 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. JF - Middleware 2005 EP - 400 TI - Matrix: Adaptive Middleware for Distributed Multiplayer Games SP - 390 KW - middleware KW - networked_games AU - Balan, Rajesh AU - Ebling, Maria AU - Castro, Paul AU - Misra, Archan PY - 2005/// UR - http://dx.doi.org/10.1007/11587552_20 ER -

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