Sisneros Robert, Jones Chad, Huang Jian, Gao Jinzhu, Park Byung-Hoon, Samatova Nagiza
Department of Computer Science, University of Tennessee, Knoxville, TN 37996, USA.
IEEE Trans Vis Comput Graph. 2007 Sep-Oct;13(5):991-1003. doi: 10.1109/TVCG.2007.1046.
Remote visualization is an enabling technology aiming to resolve the barrier of physical distance. While many researchers have developed innovative algorithms for remote visualization, previous work has focused little on systematically investigating optimal configurations of remote visualization architectures. In this paper, we study caching and prefetching, an important aspect of such architecture design, in order to optimize the fetch time in a remote visualization system. Unlike a processor cache or web cache, caching for remote visualization is unique and complex. Through actual experimentation and numerical simulation, we have discovered ways to systematically evaluate and search for optimal configurations of remote visualization caches under various scenarios, such as different network speeds, sizes of data for user requests, prefetch schemes, cache depletion schemes, etc. We have also designed a practical infrastructure software to adaptively optimize the caching architecture of general remote visualization systems, when a different application is started or the network condition varies. The lower bound of achievable latency discovered with our approach can aid the design of remote visualization algorithms and the selection of suitable network layouts for a remote visualization system.
远程可视化是一种旨在消除物理距离障碍的赋能技术。虽然许多研究人员已经开发出用于远程可视化的创新算法，但先前的工作很少关注系统地研究远程可视化架构的最佳配置。在本文中，我们研究缓存和预取，这是此类架构设计的一个重要方面，以便优化远程可视化系统中的获取时间。与处理器缓存或网络缓存不同，远程可视化的缓存是独特且复杂的。通过实际实验和数值模拟，我们已经发现了在各种场景下系统评估和搜索远程可视化缓存最佳配置的方法，例如不同的网络速度、用户请求的数据大小、预取方案、缓存耗尽方案等。我们还设计了一个实用的基础设施软件，当启动不同应用程序或网络条件变化时，能自适应地优化通用远程可视化系统的缓存架构。我们的方法所发现的可实现延迟下限有助于远程可视化算法的设计以及为远程可视化系统选择合适的网络布局。
