IGSNRR OpenIR
An Effective NoSQL-Based Vector Map Tile Management Approach
Wan, Lin1; Huang, Zhou2; Peng, Xia3,4
2016-11-01
Source PublicationISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
ISSN2220-9964
Volume5Issue:11Pages:25
Corresponding AuthorHuang, Zhou(huangzhou@pku.edu.cn)
AbstractWithin a digital map service environment, the rapid growth of Spatial Big-Data is driving new requirements for effective mechanisms for massive online vector map tile processing. The emergence of Not Only SQL (NoSQL) databases has resulted in a new data storage and management model for scalable spatial data deployments and fast tracking. They better suit the scenario of high-volume, low-latency network map services than traditional standalone high-performance computer (HPC) or relational databases. In this paper, we propose a flexible storage framework that provides feasible methods for tiled map data parallel clipping and retrieval operations within a distributed NoSQL database environment. We illustrate the parallel vector tile generation and querying algorithms with the MapReduce programming model. Three different processing approaches, including local caching, distributed file storage, and the NoSQL-based method, are compared by analyzing the concurrent load and calculation time. An online geological vector tile map service prototype was developed to embed our processing framework in the China Geological Survey Information Grid. Experimental results show that our NoSQL-based parallel tile management framework can support applications that process huge volumes of vector tile data and improve performance of the tiled map service.
Keyworddigital map map tile NoSQL MapReduce cloud computing
DOI10.3390/ijgi5110215
WOS KeywordWEB
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41401449] ; National Natural Science Foundation of China[41501162] ; National Natural Science Foundation of China[41625003] ; Scientific Research Key Program of Beijing Municipal Commission of Education[KM201611417004] ; New Starting Point Program of Beijing Union University[ZK10201501] ; State Key Laboratory of Resources and Environmental Information System ; Key Laboratory of Satellite Surveying Technology and Application, Chinese National Administration of Surveying, Mapping and Geoinformation
Funding OrganizationNational Natural Science Foundation of China ; Scientific Research Key Program of Beijing Municipal Commission of Education ; New Starting Point Program of Beijing Union University ; State Key Laboratory of Resources and Environmental Information System ; Key Laboratory of Satellite Surveying Technology and Application, Chinese National Administration of Surveying, Mapping and Geoinformation
WOS Research AreaPhysical Geography ; Remote Sensing
WOS SubjectGeography, Physical ; Remote Sensing
WOS IDWOS:000390104200022
PublisherMDPI AG
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/65236
Collection中国科学院地理科学与资源研究所
Corresponding AuthorHuang, Zhou
Affiliation1.China Univ Geosci, Fac Informat Engn, Wuhan 430074, Peoples R China
2.Peking Univ, Inst Remote Sensing & GIS, Beijing 100871, Peoples R China
3.Beijing Union Univ, Inst Tourism, Beijing 100101, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Wan, Lin,Huang, Zhou,Peng, Xia. An Effective NoSQL-Based Vector Map Tile Management Approach[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2016,5(11):25.
APA Wan, Lin,Huang, Zhou,&Peng, Xia.(2016).An Effective NoSQL-Based Vector Map Tile Management Approach.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,5(11),25.
MLA Wan, Lin,et al."An Effective NoSQL-Based Vector Map Tile Management Approach".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 5.11(2016):25.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wan, Lin]'s Articles
[Huang, Zhou]'s Articles
[Peng, Xia]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wan, Lin]'s Articles
[Huang, Zhou]'s Articles
[Peng, Xia]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wan, Lin]'s Articles
[Huang, Zhou]'s Articles
[Peng, Xia]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.