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2011 IEEE World Congress on Services
Visualization of Urban Air Pollution with Cloud Computing
Washington, DC USA
July 04-July 09
ISBN: 978-0-7695-4461-8
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.
Index Terms:
Keywords-Smart-MapReduce; Visualization; Air Pollution
Citation:
Jong Won Park, Chang Ho Yun, Hae Sun Jung, Yong Woo Lee, "Visualization of Urban Air Pollution with Cloud Computing," services, pp.578-583, 2011 IEEE World Congress on Services, 2011
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