中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
The quantitative evaluation on X3D-based ORGDM

文献类型:会议论文

作者Chen ; Yan-Rui1 ; 2 ; 3 ; Wang ; Tao1 ; Xi1 ; Bai ; Xu4
出版日期2009
会议名称2009 WRI World Congress on Computer Science and Information Engineering, CSIE
会议日期2009
会议地点Los Angeles, CA, United states
关键词Calculation efficiency - Case studies - Data models - Database research - File systems - Geo-spatial data - Laws of nature - Management style - Patial data model - Performance computing - Performance spaces - Professional models - Qualitative assessments - Quantitative analysis - Quantitative evaluation - Quantitative evaluation methods - X3D-based ORGDM
页码591-595
中文摘要As the qualitative assessment does not objectivly reflect the nature characteristics of the data model, it is also necessary to establish a quantitative evaluation method in order to scientifically reflect the performance computing space of X3D-based ORGDM. However, other professional model for reflecting the objective laws of nature, its quantitative evaluation method does not apply to the quantitative evaluation on X3D-based ORGDM. On the basis of database research, combining with the characteristics of geospatial data model, put forward that use the uperimposed calculation efficiency based on X3D-based ORGDM to quantitatively evaluate its performance space under the two different management style between comparing file system and database systems in this paper. Then, design the experiment according to the method. The experimental results objectively reflect the performance computing space of X3D-based ORGDM really. At last, we introduce the application of X3D-based ORGDM for the specific project briefly. © 2008 IEEE. (13 refs.)
收录类别EI
会议录2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009
ISBN号13: 9780769535074
源URL[http://ir.xjlas.org/handle/365004/10828]  
专题新疆生态与地理研究所_中国科学院新疆生态与地理研究所(2010年以前数据)
推荐引用方式
GB/T 7714
Chen,Yan-Rui1,2,et al. The quantitative evaluation on X3D-based ORGDM[C]. 见:2009 WRI World Congress on Computer Science and Information Engineering, CSIE. Los Angeles, CA, United states. 2009.

入库方式: OAI收割

来源:新疆生态与地理研究所

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