Visualization of Urban Air Pollution with Cloud Computing

Visualization of urban air pollution requiresmassive data processing since it should make air pollutionmaps either in two dimensions or three dimensions and wehave to deal with geographical data, that is, GIS data. We usedour own cloud computing technology to visualize urban airpollution and found that our approach vastly reduced theprocessing time of the visualization. In this paper, we presentthe visualization processing of urban air pollution using ourown cloud computing technology, Smart-MapReduce andcompare the performance with MPI and MapReduce withHadoop.