DocumentCode :
3204323
Title :
Visualization of Urban Air Pollution with Cloud Computing
Author :
Park, Jong Won ; Yun, Chang Ho ; Jung, Hae Sun ; Lee, Yong Woo
Author_Institution :
Ubiquitous (Smart) City Consortium, Univ. of Seoul, Seoul, South Korea
fYear :
2011
fDate :
4-9 July 2011
Firstpage :
578
Lastpage :
583
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.
Keywords :
air pollution; cloud computing; data visualisation; environmental science computing; geographic information systems; GIS data; Hadoop; Smart MapReduce; cloud computing; data processing; geographical data; urban air pollution visualization; visualization processing; Air pollution; Atmospheric modeling; Buildings; Cities and towns; Cloud computing; Solid modeling; Three dimensional displays; Air Pollution; Keywords-Smart-MapReduce; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Services (SERVICES), 2011 IEEE World Congress on
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4577-0879-4
Electronic_ISBN :
978-0-7695-4461-8
Type :
conf
DOI :
10.1109/SERVICES.2011.111
Filename :
6012794
Link To Document :
بازگشت