Improvement of Distributed Virtual Environment (DVE) performance

Distributed virtual Environment enables multiple users to interact with each other over a network. Due to the availability of high bandwidth and fast graphics cards, these systems grow in term of number of users, Scene Complexity and interactivity. However, the issue of how efficient the system scales as the number of users increase is major problem that DVE faced since their inception. In this paper, we propose a new method in order to improve DVE performance using Data-Mining. A widely used mining technique is markov chain model, which depend on predicting the future user moves based on the history of his previous visits to the DVE System. This will help decreasing information exchange between users, which should in turn enable improvement in the walk through in the distributed virtual environment system (DVE). [PUBLICATION ABSTRACT]