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Optimising online FPS game server discovery through clustering servers by origin autonomous system

Grenville Armitage
2008 Proceedings of the 18th International Workshop on Network and Operating Systems Support for Digital Audio and Video - NOSSDAV '08  
This new approach may take less than 20% of the time and network traffic of conventional server discovery (without exceeding conventional server discovery time and traffic consumption in the worst case  ...  This paper describes the use of origin Autonomous System (AS) information to optimise online First Person Shooter (FPS) game server discovery.  ...  NOSSDAV '08 Braunschweig, Germany Copyright 2008 ACM 978-1-60588-157-6/05/2008 ...$5.00. host from 4 to around 30+ players, there are usually many thousands of individually operated game servers active  ... 
doi:10.1145/1496046.1496048 dblp:conf/nossdav/Armitage08 fatcat:2ezeajoqkbbbpbkiezufulhlze

Receiver-driven view-dependent streaming of progressive mesh

Wei Cheng, Wei Tsang Ooi
2008 Proceedings of the 18th International Workshop on Network and Operating Systems Support for Digital Audio and Video - NOSSDAV '08  
Progressive mesh streaming enables users to view 3D meshes over the network with increasing level of details, by sending coarse version of the meshes initially, followed by a series of refinements.  ...  Experiments show that our protocol reduces the CPU cost of the sender by 24% and the outgoing traffic of the sender by 40%.  ...  Acknowledgment This work is supported by National University of Singapore Academic Research Fund R-252-000-306-112.  ... 
doi:10.1145/1496046.1496049 dblp:conf/nossdav/ChengO08 fatcat:pzpdpohghzeplogyb6bkqfztvm