期刊文献+

并行R树空间索引中叶节点大小的确定方法研究 被引量:4

Research on the method for evaluating the size of leaf node of parallel R-tree spatial indexing
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摘要 并行R树空间索引结构中叶节点的大小是影响索引效率的主要因素,其确定方法是并行R树索引结构性能优劣的关键。本文讨论并设计了一种多层并行R树空间索引结构,文中以系统的查询响应时间作为性能评估指标,给出了并行R树叶节点大小的确定方法,并通过实验验证了该方法的有效性和适用性,同时也论证了本文所设计的多层并行R树索引结构是合理的和高效的。 The size of leaf node of parallel R-tree spatial indexing is one of the important factors for the efficiency of spatial indexing, and the evaluation method will determine the stand or fall of the performance of parallel R-tree spatial indexing. The paper discusses and designs a multi-tiers parallel R-tree spatial indexing structure under the distributed parallel computing environment, and using the response time of system query as the performance evaluation factor, gives the method for evaluating the size of leaf-node of parallel R-tree spatial indexing, and the availability and the applicability of the evaluation method has been validated sufficiently by experimenting. Simultaneously, the experiment proves that the structure of parallel R-tree spatial indexing is rational and high-performance.
出处 《测绘科学》 CSCD 北大核心 2008年第4期94-97,共4页 Science of Surveying and Mapping
基金 科技部863项目(2001AA136010)
关键词 并行空间索引 并行R树空间索引 并行GIS 分布式并行计算环境 parallel spatial indexing parallel R-tree spatial indexing parallel GIS distributed parallel computing environment
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参考文献8

  • 1R G Healey, S Dowers, B M Gittings, M J Mineter( Eds. ) . Parallel Processing Algorithms for GIS [ M ] . London : Taylor and Francis, 1998.
  • 2David Taniar, J Wenny Rahayu. Global parallel index for multi-processors database systems [J] . Information Sciences. 2004, 165(1-2): 103-127.
  • 3Ibrahim Kamel, Christos Faloutsos. Parallel R-trees [C] //ACM SIGMOD, USA, 1992.
  • 4M H ALl, A A SAAD. The PN-Tree: A Parallel and Distributed Multidimensional Index [ J ] . Distributed and Parallel Databases, 2005, 17: 111-133.
  • 5赵春宇,孟令奎,林志勇.一种面向并行空间数据库的数据划分算法研究[J].武汉大学学报(信息科学版),2006,31(11):962-965. 被引量:26
  • 6Wang B, Horinokuehi H, Kaneko K, Makinouehi. A parallel R-tree search algorithm on DSVM[C] //Proceedings of the International Conferenee on Database Systems for Advaneed Applieations, 1999 : 237-244.
  • 7Bradford G Nickerson, Feng Gao. Spatial Indexing of Large Volume Swath Data Sets[J].International Journal of Geographical Information Science. 1998, 12 (6) : 537-559.
  • 8刘宇,李成名,刘德钦,马维军.空间信息格网研究进展[J].测绘科学,2007,32(4):187-189. 被引量:13

二级参考文献20

  • 1于贵瑞,何洪林,刘新安,牛栋.中国陆地生态信息空间化技术研究(Ⅰ)——气象/气候信息的空间化技术途径[J].自然资源学报,2004,19(4):537-544. 被引量:69
  • 2李德仁,邵振峰,朱欣焰.论空间信息多级格网及其典型应用[J].武汉大学学报(信息科学版),2004,29(11):945-950. 被引量:60
  • 3邵振峰,李德仁.基于网格计算环境下的空间信息多级格网研究[J].地理信息世界,2005,3(2):31-35. 被引量:14
  • 4Michael J M, Steve D, Bruce M G. Towards a HPC Framework for Integrated Processing of Geographical Data: Encapsulating the Complexity of Parallel Algorithms[J].Trans in GIS, 2000, 4(3) : 245-262
  • 5Dowers S, Gittings B M, Mineter M J. Towards a Framework for High-performance Geocomputation: Handling Vector-topology Within a Distribu- ted Service Environment [J].Computers, Environment and Urban Systems, 2000(24) : 471-486
  • 6Michael J M. A Software Framework to Create Vector-topology in Parallel GIS Operations[J].International Journal of Geographical Information Science, 2003, 17(3):203-222
  • 7Richard H, Steve D, Bruce T, et al. Parallel Processing Algorithms for GIS[M]. UK: Taylor &Francis Ltd, 1998
  • 8Nickerson B G, Gao F. Spatial Indexing of Large Volume Swath Data Sets[J]. International Journal of Geographical Information Science, 1998, 12(6) :537-559
  • 9Jonathan L. The Application of Space-filling Curves to the Storage and Retrivel of Multi-dimensional Data [D].London: University of London, 2000
  • 10Kumar A, Muhanna W A. Analysis of the Performance of Spatial Ordering Methods[J].International Journal of Geographical Information Science, 1998, 12(3) : 269-289

共引文献37

同被引文献52

  • 1宋扬,潘懋,朱雷.三维GIS中的R树索引研究[J].计算机工程与应用,2004,40(14):9-10. 被引量:11
  • 2张明波,陆锋,申排伟,程昌秀.R树家族的演变和发展[J].计算机学报,2005,28(3):289-300. 被引量:94
  • 3欧阳祖熙,张宗润,丁凯,师洁珊,陈明金,毛兴明.基于3S技术和地面变形观测的三峡库区典型地段滑坡监测系统[J].岩石力学与工程学报,2005,24(18):3203-3210. 被引量:38
  • 4卢炎生,向祥兵,潘鹏.CQRtree空间数据库索引结构及实现算法[J].计算机工程与科学,2006,28(6):108-111. 被引量:4
  • 5Guttman A. R-trees: A dynamic index structure for spatial searching [ C ] //The ACM SIGMOD Int. Conf. on Management of Data, Boston, MA, 1984:47 - 57.
  • 6Beckmann N, Kriegel H P, Schneider, R, and Seeger B. The R * -tree: an efficient and robust access method for points and rectangles [ C ] //The ACM SIGMOD Int. Conf. on Management of Data, Atlantic City, N.J. , 1990 : 322-331.
  • 7Sellis T K, Roussopoulos N, Faloutsos C. The R +- tree: a dynamic index for multi-dimensional objects [C] //The 13th Int. Conf. on Very Large Data Bases, Brighton, 1987: 507-518.
  • 8Katayama, N., Satoh, S.. The SR-tree: an index structure for high-dimensional nearest neighbor queries [ C ] // The ACM SIGMOD Int. Conf. on Management of Data, Tucson, Arizona, 1997. 369-380.
  • 9Robinson J T. The K-D-B-tree: A search structure for large muhi-dimensional dynamic indexes [ C ] //The ACM SIGMOD Int. Conf. on Management of Data, Michigan, 1981: 10-15.
  • 10Fuchs H, Abram G. D, Grant E D. New real-time sha- ded display of rigid objects [ J ] . Computer Graph, 1983, 17(3) .

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