Visualization of Urban Air Pollution with Cloud Computing

Jong-Won Park, C. Yun, Hae-Sun Jung, Yongwoo Lee
{"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}
引用次数: 24

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
城市空气污染的云计算可视化
城市空气污染的可视化需要大量的数据处理,因为它应该制作二维或三维的空气污染图,我们必须处理地理数据,即GIS数据。我们使用自己的云计算技术可视化城市空气污染,发现我们的方法大大缩短了可视化的处理时间。在本文中,我们利用自己的云计算技术Smart-MapReduce对城市空气污染进行可视化处理,并与MPI和基于hadoop的MapReduce进行性能比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Reputation-Based Web Service Selection for Composition SSC4Cloud Tooling: An Integrated Environment for the Development of Business Processes with Security Requirements in the Cloud Simplifying Web Service Discovery & Validating Service Composition A Survey of Cloud Storage Facilities Externalizing the Autopoietic Part of Software to Achieve Self-Adaptability
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1