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Cloud computing can be used to generate the 3D noise maps in ubiquitous cities. Here in this paper, the authors present their cloud computing approach, its performance and a performance comparison for it. The 3D image processing with GIS data requires great amount of computational resource because of complex and large amount of spatial information. The cloud computing can solve the problem with an easy and transparent way. They use Hadoop which is a framework that includes the HDFS (Hadoop Distributed File System) and MapReduce as cloud computing methodology to do massively parallel processing of 3D GIS data. They found the computing time is vastly reduced with a cluster of computing nodes.
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