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Prefetching Optimization for Distributed Urban Environments

机译:分布式城市环境的预取优化

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We propose a method for pre-fetching scene data to improve smoothness of client side rendering in distributed urban environments. The scene is represented as a graph where the nodes are the view-cells and the edges denote the adjacencies among the cells. Prefetching is transformed into graph partitioning problem where the partitions might overlap with each other. We utilize Simulated Annealing algorithm to find an approximation for the optimum partitioning where the rendering cost is minimum. The presented method works on heuristics to minimize average cost and maximum view-cell transition cost.
机译:我们提出了一种预先获取场景数据的方法,以改善分布式城市环境中的客户端渲染的平滑度。该场景表示为节点是视图 - 小区的图表,并且边缘表示单元之间的邻接。预取转换为图形分区问题,其中分区可能彼此重叠。我们利用模拟退火算法来找到最佳分区的近似,其中渲染成本最小。呈现的方法适用于启发式,以最大限度地减少平均成本和最大视图 - 细胞转换成本。

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