Networked virtual environments: design and implementation
Networked virtual environments: design and implementation
Communications of the ACM - Internet abuse in the workplace and Game engines in scientific research
An Efficient Partitioning Algorithm for Distributed Virtual Environment Systems
IEEE Transactions on Parallel and Distributed Systems
A multi-server architecture for distributed virtual walkthrough
VRST '02 Proceedings of the ACM symposium on Virtual reality software and technology
A Taxonomy for Networked Virtual Environments
IEEE MultiMedia
Network Topologies for Scalable Multi-User Virtual Environments
VRAIS '96 Proceedings of the 1996 Virtual Reality Annual International Symposium (VRAIS 96)
An Evaluation of Grouping Techniques for State Dissemination in Networked Multi-User Games
MASCOTS '01 Proceedings of the Ninth International Symposium in Modeling, Analysis and Simulation of Computer and Telecommunication Systems
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
Making Networked Virtual Environments Work
Presence: Teleoperators and Virtual Environments
An application of distributed virtual environment to foreign language education
FIE '00 Proceedings of the 30th Annual Frontiers in Education - Volume 01
ICCSA'03 Proceedings of the 2003 international conference on Computational science and its applications: PartIII
The rise of shared virtual environments
IEEE Spectrum
Hi-index | 0.00 |
In Distributed Virtual Environment (DVE), multiple users and multiple virtual environments are connected via internet to share the information and interact where they are in the different locations. Therefore, how to decrease the growing requirement of bandwidth and computational resources is one of the major challenges in the field of designing a scalable and cost-effective DVE. Actually, the partitioning problem is one of efficient issues on designing an excellent DVE. A brilliant partitioning method is related with assigning several avatars into the suitable servers with well balancing the growing requirement of bandwidth and computational resources in DVE. In this paper, a new method LCAA is proposed. The LCAA is a new partitioning method that balancing the CPU utilization of servers in DVE especially. The illumination of LCAA method is based on such phenomenon that while any of the servers CPU utilization reaches at 100 percentages, the DVE will present saturation state. In that case, a bad performance will be supported in DVE. In order to avoid such phenomenon, assigning the avatars into the servers with low CPU utilization is the main idea of LCAA partitioning method. Thus, we can easily reduce the possibility of occurrence of system saturation in DVE.