Adaptive parallel Delaunay triangulation construction with dynamic pruned binary tree model in Cloud
文献类型：期刊论文
| 作者 | Lin, Jiaxiang1,2; Chen, Riqing1; Wu, Liping1; Shu, Zhaogang1; Yang, Changcai1 |
| 刊名 | CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
 |
| 出版日期 | 2017-12-25 |
| 卷号 | 29期号:24页码:10 |
| 关键词 | Delaunay TIN distributed and parallel cloud services divide and conquer incremental insertion |
| ISSN号 | 1532-0626 |
| DOI | 10.1002/cpe.4157 |
| 通讯作者 | Chen, Riqing(riqing.chen@fafu.edu.cn) |
| 英文摘要 | The paper illustrates a parallel and distributed scheme for computing a planar Delaunay triangulation using a divide-and-conquer strategy in Cloud environment, which combines the incremental insertion algorithm and the divide-and-conquer method. The proposed hybrid algorithm for Delaunay triangulation construction is easy to be parallelized due to the dynamic pruned characteristic of the binary tree model used. Moreover, the Cloud platform decreases the communication overhead and improves data locality by making use of a data partitioning and integrating scheme offered by the map-reduce architecture. The implementation of the parallel and distributed version of the algorithm relied on a robust data structure called quad-edge, which implies the geometric relationship among the edges and vertexes adjacent. More importantly, the data are serialized easily and transmitted efficiently between different Cloud nodes; the algorithm is executed conveniently on PC clusters. We tested the parallel version of the algorithm on GeoKSCloud, a geographical knowledge service Cloud developed by our research team. Experimental results show that the proposed hybrid algorithm is efficient and competitive; it can be easily migrated and deployed in distributed and parallel computing environment, such as grid and Cloud. The parallel implementation of the hybrid algorithm has a good speed-up, while data communication is the crucial factor for the efficiency of the parallel version. Overall, the parallel version outperforms both the sequential divide-and-conquer algorithm and the sequential incremental insertion algorithm. |
| WOS关键词 | INCREMENTAL CONSTRUCTION ; VORONOI DIAGRAMS ; CONQUER SCHEME ; ALGORITHM ; COMPUTATION |
| 资助项目 | National Natural Science Foundation of China[41401458] ; National Natural Science Foundation of China[61501120] ; Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, Fuzhou University[2017LSDMIS01] ; Key Program of Science and Technology of Fujian Province[2015H0015] ; Natural Science Foundation of Fujian Province of China[2014J05045] ; Natural Science Foundation of Fujian Province of China[2016J05148] ; Natural Science Foundation of Fujian Province of China[2016J01753] ; Science and Technology Foundation of The Education Department of Fujian Province of China[JA12375] ; Youth Foundation of Fujian Agriculture and Forestry University[k13xjj05a] |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000416017600003 |
| 出版者 | WILEY |
| 资助机构 | National Natural Science Foundation of China ; Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, Fuzhou University ; Key Program of Science and Technology of Fujian Province ; Natural Science Foundation of Fujian Province of China ; Science and Technology Foundation of The Education Department of Fujian Province of China ; Youth Foundation of Fujian Agriculture and Forestry University |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/56782]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Chen, Riqing |
| 作者单位 | 1.Fujian Agr & Forestry Univ, Coll Comp & Informat Sci, Fuzhou 350002, Fujian, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Lin, Jiaxiang,Chen, Riqing,Wu, Liping,et al. Adaptive parallel Delaunay triangulation construction with dynamic pruned binary tree model in Cloud[J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,2017,29(24):10. |
| APA | Lin, Jiaxiang,Chen, Riqing,Wu, Liping,Shu, Zhaogang,&Yang, Changcai.(2017).Adaptive parallel Delaunay triangulation construction with dynamic pruned binary tree model in Cloud.CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,29(24),10. |
| MLA | Lin, Jiaxiang,et al."Adaptive parallel Delaunay triangulation construction with dynamic pruned binary tree model in Cloud".CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 29.24(2017):10. |
入库方式： OAI收割
来源：地理科学与资源研究所
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