RING: a client-server system for multi-user virtual environments
I3D '95 Proceedings of the 1995 symposium on Interactive 3D graphics
NetEffect: a network architecture for large-scale multi-user virtual worlds
VRST '97 Proceedings of the ACM symposium on Virtual reality software and technology
On caching and prefetching of virtual objects in distributed virtual environments
MULTIMEDIA '98 Proceedings of the sixth ACM international conference on Multimedia
Multi-Player Game Programming with CDROM
Multi-Player Game Programming with CDROM
A multi-server architecture for distributed virtual walkthrough
VRST '02 Proceedings of the ACM symposium on Virtual reality software and technology
CyberWalk: a web-based distributed virtual walkthrough environment
IEEE Transactions on Multimedia
A dynamical adjustment partitioning algorithm for distributed virtual environment systems
VRCAI '08 Proceedings of The 7th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry
M-GRASP: a GRASP with memory for latency-aware partitioning methods in DVE systems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Dynamic hybrid DVE architecture
ASIAN'05 Proceedings of the 10th Asian Computing Science conference on Advances in computer science: data management on the web
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A distributed virtual environment (DVE) allows users at different geographical locations to share information and interact within a common virtual environment (VE) via a local network or through the Internet. However, when the number of users exploring the VE increases, the server will quickly become the bottleneck. To enable good performance, we are currently developing a multi-server DVE prototype. In this paper, we describe an adaptive data partitioning technique to dynamically partition the whole VE into regions. All objects within each region will be managed by a single server. As the loading of the servers changes, we show how it can be redistributed while minimizing the communication cost. Our initial results show that the proposed adaptive partitioning technique significantly improves the performance of the overall system.