{"title":"城市空气污染的云计算可视化","authors":"Jong-Won Park, C. Yun, Hae-Sun Jung, Yongwoo Lee","doi":"10.1109/SERVICES.2011.111","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":429726,"journal":{"name":"2011 IEEE World Congress on Services","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":"{\"title\":\"Visualization of Urban Air Pollution with Cloud Computing\",\"authors\":\"Jong-Won Park, C. Yun, Hae-Sun Jung, Yongwoo Lee\",\"doi\":\"10.1109/SERVICES.2011.111\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":429726,\"journal\":{\"name\":\"2011 IEEE World Congress on Services\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-07-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"24\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE World Congress on Services\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SERVICES.2011.111\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE World Congress on Services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SERVICES.2011.111","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.
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