An Effective NoSQL-Based Vector Map Tile Management Approach
文献类型:期刊论文
作者 | Wan, Lin1; Huang, Zhou2; Peng, Xia3,4 |
刊名 | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
![]() |
出版日期 | 2016-11-01 |
卷号 | 5期号:11页码:25 |
关键词 | digital map map tile NoSQL MapReduce cloud computing |
ISSN号 | 2220-9964 |
DOI | 10.3390/ijgi5110215 |
通讯作者 | Huang, Zhou(huangzhou@pku.edu.cn) |
英文摘要 | Within 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. |
WOS关键词 | WEB |
资助项目 | National 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 |
WOS研究方向 | Physical Geography ; Remote Sensing |
语种 | 英语 |
WOS记录号 | WOS:000390104200022 |
出版者 | MDPI AG |
资助机构 | National 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 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/65235] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Huang, Zhou |
作者单位 | 1.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 |
推荐引用方式 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. |
入库方式: OAI收割
来源:地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。