Simulated annealing: theory and applications
Simulated annealing: theory and applications
Networked virtual environments: design and implementation
Networked virtual environments: design and implementation
Practical genetic algorithms
An Efficient Partitioning Algorithm for Distributed Virtual Environment Systems
IEEE Transactions on Parallel and Distributed Systems
Building Multiuser Interactive Multimedia Environments at MERL
IEEE MultiMedia
Exploiting Reality with Multicast Groups
IEEE Computer Graphics and Applications
mWorld: A Multiuser 3D Virtual Environment
IEEE Computer Graphics and Applications
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
Parallel Computing - Special issue: Parallel and nature-inspired computational paradigms and applications
Improving the Performance of Distributed Virtual Environment Systems
IEEE Transactions on Parallel and Distributed Systems
A partitioning method of balancing CPU utilization of servers in DVE
PDCN '08 Proceedings of the IASTED International Conference on Parallel and Distributed Computing and Networks
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Fast Internet connections and the widespread use of high performance graphic cards are making Distributed Virtual Environment (DVE) systems very common nowadays. However, there are several key issues in these systems that should still be improved in order to design a scalable and cost-effective system. One of these key issues is the partitioning problem. This problem consists of efficiently assigning clients (3-D avatars) to the servers in the system. In this paper, we present a comparison study of different modern heuristics for solving the partitioning problem in DVE systems, as an alternative to the ad-hoc heuristic proposed in the literature. Performance evaluation results show that some of the heuristic methods can greatly improve the performance of the partitioning method, particularly for large DVE systems. In this way, efficiency and scalability of DVE systems can be significantly improved.