为基于客户机-服务器的演练优化了邻居预取和缓存

Zhi Zheng, T. Chan
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引用次数: 6

摘要

提出了一种基于位置的邻居预取算法,用于基于客户端-服务器的演练。该算法根据客户端的当前视图位置预测在不久的将来需要哪些相邻的viewcell,并将该viewcell的预先计算的潜在可见集(PVS)预取到客户端缓存中。我们的算法对客户端缓存的内存需求很低。在相同缓存大小的情况下,我们的算法比简单的邻居预取方法提供了更好的性能。我们还提供了一个增量传输算法,通过避免传输客户端缓存中已经存在的几何图形来优化预取传输过程。还提出了一种缓存管理和条目替换策略来维护客户端缓存。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimized neighbour prefetch and cache for client-server based walkthrough
We present a position-based neighbour prefetch algorithm for client-server based walkthrough. This algorithm predicts which neighbouring viewcell will be needed in the near future according to the current view position of the client and prefetches the pre-computed potential visible set (PVS) for that viewcell to the client-side cache. Our algorithm has a low memory requirement for the client-side cache. With the same cache size, our algorithm offers a much better performance than the simple neighbour prefetch method. We also provide a delta-transmission algorithm to optimize the prefetch transmission procedure by avoiding transmitting those geometries that are already in the client-side cache. A cache management and entry replacement strategy is also proposed to maintain the client-side cache.
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