Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
Networked virtual environments: design and implementation
Networked virtual environments: design and implementation
Practical genetic algorithms
Heuristic algorithms for multiconstrained quality-of-service routing
IEEE/ACM Transactions on Networking (TON)
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
mWorld: A Multiuser 3D Virtual Environment
IEEE Computer Graphics and Applications
An ACS-Based Partitioning Method for Distributed Virtual Environment Systems
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
Environment for Performing Collaborative Distributed Virtual Environments with QoS
ICPADS '00 Proceedings of the Seventh International Conference on Parallel and Distributed Systems
Networked games: a QoS-sensitive application for QoS-insensitive users?
RIPQoS '03 Proceedings of the ACM SIGCOMM workshop on Revisiting IP QoS: What have we learned, why do we care?
Proceedings of the ACM symposium on Virtual reality software and technology
A Latency-Aware Partitioning Method for Distributed Virtual Environment Systems
IEEE Transactions on Parallel and Distributed Systems
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
Self-Optimization and Self-Stabilization in Autonomic Clouds
Concurrency and Computation: Practice & Experience
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Architectures based on networked servers have become a de-facto standard for Distributed Virtual Environment (DVE) systems. These systems allow a large number of remote users to share a single 3D virtual scene. In order to provide quality of service in a DVE system, clients should be assigned to servers taking into account system throughput and system latency. This highly complex problem is known as the quality of service (QoS) problem. This paper proposes an elitist sexual genetic algorithm for solving the QoS problem in Distributed Virtual Environment systems. Performance evaluation results show that, due to its ability of both finding good search paths and keeping diversity escaping from local minima, this nature inspired technique can provide significantly better solutions than other heuristic methods with shorter execution times. Therefore, the proposed implementation of GA search method can improve the QoS offered by DVE systems.