[1] CHEN C L P, ZHANG C-Y. Data-intensive applications, challenges, techniques and technologies: a survey on big data [J]. Information Sciences, 2014, 275: 314-347. [2] CHANG F D J, DEAN J, GHEMAWAT S, et al. Bigtable: a distributed storage system for structured data [J]. ACM Transactions on Computer Systems, 2008, 26(2): Article No. 4. [3] O'DRISCOLL A, DAUGELAITE J, SLEATOR R D. 'Big data’, Hadoop and cloud computing in genomics [J]. Journal of Biomedical Informatics, 2013, 46(5): 774-781. [4] SHANG X. Design and implementation of WebGIS massive tile data management engine [D]. Jinhua: Zhejiang Normal University, 2012.(商秀玉.WebGIS海量瓦片数据管理引擎的设计与实现[D].金华:浙江师范大学,2012.) [5] YU W. Digital earth oriented key technologies for 3D landscape development [D]. Beijing: University of Chinese Academy of Sciences, 2006.(于文洋.面向数字地球的三维景观构造关键技术研究[D].北京:中国科学院研究生院,2006.) [6] LUO Z, LI X. High performance tile map service based on database storage scheme [J]. Geography and Geo-Information Science, 2013, 29(3): 48-51.(罗智勇,黎小东.基于数据库存储方案的高性能瓦片地图服务研究[J].地理与地理信息科学,2013,29(3):48-51.) [7] ZHAO S. Typical Hadoop cloud computing [M]. Beijing: Publishing House of Electronics Industry, 2013: 362.(赵书兰.典型Hadoop云计算[M].北京:电子工业出版社,2013:362.) [8] CHEN H, LI Y, ZHU M. Research on tile buffer policy supporting large number of concurrent [J]. Computer Engineering & Science, 2012, 34(12): 144-149.(陈华,李艳明,朱美正.一种支持大量并发用户的瓦片缓存方案研究[J].计算机工程与科学,2012,34(12):144-149.) [9] ZHU X, ZHAO Z. Massive image storage based on HBase [J]. China CIO News, 2013(8): 22-24.(朱晓丽,赵志刚.一种基于HBase的海量图片存储技术[J].信息系统工程,2013(8):22-24.) [10] ZHOU L, CHEN Q. HBase-based storage system for wireless sensor information of agriculture [J]. Computer Systems & Applications, 2012, 21(8): 6-9.(周利珍,陈庆奎.基于HBase的农业无线传感信息系统[J].计算机系统应用,2012,21(8):6-9.) [11] CHEN Q, ZHOU L. HBase-based storage system for large-scale data in wireless sensor network [J]. Journal of Computer Applications, 2012, 32(7): 1920-1923.(陈庆奎,周利珍.基于HBase的大规模无线传感网络数据存储系统[J].计算机应用,2012,32(7):1920-1923.) [12] HUO S. Research on the key techniques of massive image data management based on Hadoop [D]. Changsha: National University of Defense Technology, 2010.(霍树民.基于Hadoop的海量遥感数据管理关键技术研究[D].长沙:国防科学技术大学,2010.) [13] FAN J, LONG M, XIONG W. Research of vector spatial data distributed storage based on HBase [J]. Geography and Geo-Information Science, 2012, 28(5): 39-41.(范建永,龙明,熊伟.基于HBase的矢量空间数据分布式存储研究[J].地理与地理信息科学,2012,28(5):39-41.) [14] PAPAILIOU N, TSOUMAKOS D, KONSTANTINOU I, et al. H2RDF+: an efficient data management system for big RDF graphs [C]// Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data. New York: ACM, 2014: 909-912. [15] HAN D, STROULIA E. HGrid: a data model for large geospatial data sets in HBase [C]// Proceedings of the 2013 IEEE Sixth International Conference on Cloud Computing. Piscataway: IEEE, 2013: 910-917. [16] DeCANDIA G, HASTORUN D, JAMPANI M, et al. Dynamo: Amazon's highly available key-value store [C]// ACM SIGOPS Operating Systems Review, 2007, 41(6): 205-220. [17] TANG G, ZHANG Q, WANG G. Research of storage and schedule of huge terrain based on 3D GIS [J]. Science of Surveying and Mapping, 2008, 33(3): 110-120.(唐桂文,张庆娟,王功明,等.基于三维GIS的海量地形数据存储和调度的研究[J].测绘科学,2008,33(3):110-120.) |