A Caching and Prefetching Scheme Based on the Degree of Attention about Object´s Attributes (DAOA) in Distributed Virtual Environment

For supporting real-time interaction in distributed virtual reality application (DVR), it is common to distribute all geometry data to clients from server before the start of the application. For efficient replication, two schemes are used in general - prioritized transfer of objects and caching and prefetching technique. The existing caching and prefetching approaches are mostly based on the information of avatarpsilas geometric attributes. However, these information failed to determine which types of objects are more important to an individual avatar. To solve this problem, we propose a data management scheme using integrated information, including geometric attributes and non-geometric attributes. Then we give a prefetching and caching scheme according to the integrated information. In the end, the simulation experiment shows that our method can reflect the avatar´s degree of attention to those objects in DVR better than other previous methods.