analysis of scalable data streams for representations in networked virtual environments
Analyzing the data generated by networked applications is a topic of great interest to a number of parties, such as ISPs and Network Equipment Manufacturers. However, it is becoming an increasingly difficult task to accomplish, mainly due to the use of undisclosed protocols. This is especially true when considering applications that stream content in real-time from central servers. There is a clear need for more detailed knowledge of the network behavior of these techniques. In this poster,we analyze the data streams related to 3D objects that are requested by the clients of our own networked virtual environment framework. We employ several LoD optimizations such as the use of image based representations and reduced complexity geometrical models. Using these optimizations,we try to deliver an acceptable visual representation of the virtual world as uickly as possible to a user in an environment that is in its entirety streamed in real-time from a server. Since these techniques are becoming integrated into commercial applications the conclusions drawn are widely applicable.
scalability representations networked virtual environments