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