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对等网络技术的快速发展,为遥感影像数据的高效共享开辟了新的途径。对等节点终端间互相进行数据传输的方式,有效地降低了数据共享对服务器的依赖程度,极大地提高了数据分发传输的效率。由于对等网络中各终端可能存储不同区域的影像数据,因此当需要共享某个影像数据时,选择从哪些终端传输哪些瓦片以提高传输效率,是一个需要解决的重要问题。本文研究对等终端间瓦片数据集的高效共享途径,提出了一种基于遗传算法的瓦片资源选择方法,可以有效地解决对等网瓦片资源选择问题。
The rapid development of peer-to-peer network technology has opened up new avenues for the efficient sharing of remote sensing image data. Peer node terminal data transmission between each other, effectively reducing the dependence of data sharing on the server, which greatly improves the efficiency of data distribution transmission. As each terminal in the P2P network may store image data in different areas, when choosing to share an image data, it is an important issue to choose which tiles to transmit from which terminals to improve the transmission efficiency. In this paper, efficient sharing of peer-to-peer tile datasets is studied, and a method of resource selection based on genetic algorithm is proposed, which can effectively solve the problem of peer-to-peer network tile resource selection.