Paper Info
Title
Scalable Collision Detection for Massively Multiplayer Online Games
Abstract
We describe approaches for satisfying the real-time collision detection requirements of distributed virtual environments. We assume a distributed virtual environment is deployed using client/server architecture typical of commercial massive multiplayer online games. We exploit the scalability provided by the clustering of servers in the development of a real-time collision detection service that may scale to satisfy the requirements of virtual environments that are constructed of many thousands of objects. We present performance figures that show our approaches to be scalable in that an addition of servers to a cluster results in an increased number of objects that can be considered for collision detection in real-time.
Year
DOI
Venue
2005
10.1109/AINA.2005.302
AINA
Keywords
Field
DocType
present performance figure,massively multiplayer online games,server architecture,commercial massive multiplayer online,scalable collision detection,increased number,cluster result,real-time collision detection requirement,collision detection,real-time collision detection service,virtual environment,satisfiability,navigation,virtual reality,client server architecture,virtual worlds,scalability,automata,real time systems,middleware,web server,application software,real time,server clustering
Middleware,Object detection,Virtual machine,Collision detection,Computer science,Server,Computer network,Computer cluster,Client–server model,Distributed computing,Scalability
Conference
ISBN
Citations 
PageRank 
0-7695-2249-1
2
0.35
References 
Authors
7
2
Name
Order
Citations
PageRank
Graham Morgan115019.15
Kier Storey2413.00