FogGIS:用于地理空间大数据分析的雾计算

2016 IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics Engineering (UPCON) Pub Date : 2016-12-10 DOI:10.1109/UPCON.2016.7894725

Rabindra Kumar Barik, Harishchandra Dubey, A. Samaddar, Rajan D. Gupta, P. Ray

{"title":"FogGIS:用于地理空间大数据分析的雾计算","authors":"Rabindra Kumar Barik, Harishchandra Dubey, A. Samaddar, Rajan D. Gupta, P. Ray","doi":"10.1109/UPCON.2016.7894725","DOIUrl":null,"url":null,"abstract":"Cloud Geographic Information Systems (GIS) has emerged as a tool for analysis, processing and transmission of geospatial data. The Fog computing is a paradigm where Fog devices help to increase throughput and reduce latency at the edge of the client. This paper developed a Fog Computing based framework named FogGIS for mining analytics from geospatial data. It has been built a prototype using Intel Edison, an embedded microprocessor. FogGIS has validated by doing preliminary analysis including compression and overlay analysis. Results showed that Fog Computing hold a great promise for analysis of geospatial data. Several open source compression techniques have been used for reducing the transmission to the cloud.","PeriodicalId":151809,"journal":{"name":"2016 IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics Engineering (UPCON)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"83","resultStr":"{\"title\":\"FogGIS: Fog Computing for geospatial big data analytics\",\"authors\":\"Rabindra Kumar Barik, Harishchandra Dubey, A. Samaddar, Rajan D. Gupta, P. Ray\",\"doi\":\"10.1109/UPCON.2016.7894725\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cloud Geographic Information Systems (GIS) has emerged as a tool for analysis, processing and transmission of geospatial data. The Fog computing is a paradigm where Fog devices help to increase throughput and reduce latency at the edge of the client. This paper developed a Fog Computing based framework named FogGIS for mining analytics from geospatial data. It has been built a prototype using Intel Edison, an embedded microprocessor. FogGIS has validated by doing preliminary analysis including compression and overlay analysis. Results showed that Fog Computing hold a great promise for analysis of geospatial data. Several open source compression techniques have been used for reducing the transmission to the cloud.\",\"PeriodicalId\":151809,\"journal\":{\"name\":\"2016 IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics Engineering (UPCON)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"83\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics Engineering (UPCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/UPCON.2016.7894725\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics Engineering (UPCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UPCON.2016.7894725","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 83

摘要

云地理信息系统(GIS)作为一种分析、处理和传输地理空间数据的工具而出现。雾计算是一种范例，其中雾设备有助于提高吞吐量并减少客户端边缘的延迟。本文开发了基于雾计算的地理空间数据挖掘分析框架FogGIS。它的原型是用英特尔的嵌入式微处理器“爱迪生”制造的。FogGIS通过压缩和叠加分析等初步分析进行了验证。结果表明，雾计算在地理空间数据分析中具有广阔的应用前景。已经使用了几种开源压缩技术来减少向云的传输。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

FogGIS: Fog Computing for geospatial big data analytics

Cloud Geographic Information Systems (GIS) has emerged as a tool for analysis, processing and transmission of geospatial data. The Fog computing is a paradigm where Fog devices help to increase throughput and reduce latency at the edge of the client. This paper developed a Fog Computing based framework named FogGIS for mining analytics from geospatial data. It has been built a prototype using Intel Edison, an embedded microprocessor. FogGIS has validated by doing preliminary analysis including compression and overlay analysis. Results showed that Fog Computing hold a great promise for analysis of geospatial data. Several open source compression techniques have been used for reducing the transmission to the cloud.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2016 IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics Engineering (UPCON)

自引率

0.00%

发文量