Optimizing an index with spatiotemporal patterns to support GEOSS Clearinghouse
作者： Jizhe Xia , Chaowei Yang , Zhipeng Gui , Kai Liu , Zhenlong Li
DOI: 10.1080/13658816.2014.894195
关键词:
摘要: A variety of Earth observation systems monitor the and provide petabytes geospatial data to decision-makers scientists on a daily basis. However, few studies utilize spatiotemporal patterns optimize management Big Data. This article reports new indexing mechanism with integrated support Observation (EO) metadata for global user access. Specifically, predefined multiple indices (PMIM) categorizes heterogeneous queries based patterns, are various categories. structure, Access Possibility R-tree (APR-tree), is proposed build an R-tree-based index using query patterns. The was compared classic R*-tree in number scenarios. experimental result shows that generally outperforms regular supports better operation Global Obs...
sci-hub.se 参考文章(42)
Ariel Cary, Zhengguo Sun, Vagelis Hristidis, Naphtali Rishe, Experiences on Processing Spatial Data with MapReduce statistical and scientific database management. pp. 302- 319 ,(2009) , 10.1007/978-3-642-02279-1_24
B. Schnitzer, S.T. Leutenegger, Master-client R-trees: a new parallel R-tree architecture statistical and scientific database management. pp. 68- 77 ,(1999) , 10.1109/SSDM.1999.787622
Jochen Van den Bercken, Bernhard Seeger, Jürgen Krämer, Martin Schneider, Björn Blohsfeld, Tobias Schäfer, Jens-Peter Dittrich, XXL - A Library Approach to Supporting Efficient Implementations of Advanced Database Queries very large data bases. pp. 39- 48 ,(2001)
Xing Xie, Wei-Ying Ma, Yu Zheng, GeoLife: A Collaborative Social Networking Service among User, Location and Trajectory. IEEE Data(base) Engineering Bulletin. ,vol. 33, pp. 32- 39 ,(2010)
Ibrahim Kamel, Christos Faloutsos, Hilbert R-tree: An Improved R-tree using Fractals very large data bases. pp. 500- 509 ,(1994)
Koos Rommelse, Eric Horvitz, David Heckerman, David Hovel, Jack Breese, The lumière project: Bayesian user modeling for inferring the goals and needs of software users uncertainty in artificial intelligence. pp. 256- 265 ,(1998)
Qunying Huang, Chaowei Yang, Karl Benedict, Abdelmounaam Rezgui, Jibo Xie, Jizhe Xia, Songqing Chen, Using adaptively coupled models and high-performance computing for enabling the computability of dust storm forecasting International Journal of Geographical Information Science. ,vol. 27, pp. 765- 784 ,(2013) , 10.1080/13658816.2012.715650
W. R. Tobler, A Computer Movie Simulating Urban Growth in the Detroit Region Economic Geography. ,vol. 46, pp. 234- 240 ,(1970) , 10.2307/143141
L. Sedda, P.M. Atkinson, M.R. Filigheddu, G. Cotzia, S. Dettori, Spatio-temporal analysis of tree height in a young cork oak plantation International Journal of Geographical Information Science. ,vol. 25, pp. 1083- 1096 ,(2011) , 10.1080/13658816.2010.517534
Rajkumar Buyya, Chee Shin Yeo, Srikumar Venugopal, James Broberg, Ivona Brandic, None, Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility Future Generation Computer Systems. ,vol. 25, pp. 599- 616 ,(2009) , 10.1016/J.FUTURE.2008.12.001