利用Hadoop框架实现点云地理数据存储系统

Vladimír Hanušniak, Marian Svalec, Juraj Branický, L. Takac, M. Zábovský
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引用次数: 3

摘要

计划对斯洛伐克共和国整个区域的地表进行扫描,因此需要储存所得数据并使之公开。为此,开发了一个可扩展的基于文件的数据库系统,用于存储和访问大量地理点云数据。系统的原理经过测试,在大多数情况下是充分的,但在某些情况下,单机解决方案是不令人满意的。因此,使用Hadoop框架对系统进行了重新实现,并进行了多种配置的实验。本文给出了实验结果和我们的结论。
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Exploitation of Hadoop framework for point cloud geographic data storage system
It has been planned that the whole region of Slovak Republic's surface would be scanned, and there arose a need for storing the resulting data and making it publicly available. For this purpose, a scalable file-based database system for storing and accessing a large amount of geographic point cloud data was developed. The principle of the system was tested and proved to be sufficient in most situations, but under certain circumstances, single-computer solution was not satisfactory. So, the system was re-implemented using the Hadoop framework and experiments with many configurations were done. The results of the experiments are presented in this paper along with our conclusions.
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