Visualization of Urban Air Pollution with Cloud Computing

Abstract

Visualization of urban air pollution requires massive data processing since it should make air pollution maps either in two dimensions or three dimensions and we have to deal with geographical data, that is, GIS data. We used our own cloud computing technology to visualize urban air pollution and found that our approach vastly reduced the processing time of the visualization. In this paper, we present the visualization processing of urban air pollution using our own cloud computing technology, Smart-MapReduce and compare the performance with MPI and MapReduce with Hadoop.