低带宽分布式虚拟环境中的预测技术

Prediction Technique in Low-bandwidth Distributed Virtual Environment

在分布式虚拟环境（DistributeVirtualEnvironment，DVE）中，带宽是影响系统性能和规模的一个重要因素。对系统动态场景中的运动物体使用现代控制论中的最优预测技术，使网络访问的次数可以减少，从而降低了整个分布式系统的网络带宽。还给出了场景中一个使用该预测算法的对象的定量测试数据，以此说明预测算法是有效的。

In Distributed Virtual Environment, network bandwidth is an important factor which affects system performance and scale. The optimal prediction technique in modern control theory is applied to the moving objects in the dynamicscene of the system to reduce the number of network accesses, such to lower the network bandwidth of the entire distributedsystem. This paper also gives statistical data of an object in the scene obtained using quantitative approach to illustrate the validity of the prediction algorithm.