机译:用HDFS优化Apache Spark的分层索引策略,以有效地查询大地理空间栅格数据
NSF Spatiotemporal Innovation Center and Dept. of Geography and GeoInformation Sciences George Mason University Fairfax VA USA;
NSF Spatiotemporal Innovation Center and Dept. of Geography and GeoInformation Sciences George Mason University Fairfax VA USA;
NSF Spatiotemporal Innovation Center and Dept. of Geography and GeoInformation Sciences George Mason University Fairfax VA USA;
NSF Spatiotemporal Innovation Center and Dept. of Geography and GeoInformation Sciences George Mason University Fairfax VA USA;
NSF Spatiotemporal Innovation Center and Dept. of Geography and GeoInformation Sciences George Mason University Fairfax VA USA;
Office of Computational and Information Sciences and Technology NASA Goddard Space Flight Center Greenbelt MD USA;
NASA Center for Climate Simulation Goddard Space Flight Center Greenbelt MD USA;
Earth Science Division NASA Headquarters Washington DC USA;
Big data; hierarchical indexing; multi-dimensional; Apache Spark; HDFS; distributed computing; GIS;
机译:基于冷热数据分层存储的HDFS优化策略
机译:使用ACO-GA算法和HDFS地图的大数据中的改进查询优化过程
机译:高效查询矢量和栅格数据
机译:地理平面索引(GPI)-一种有效的索引方案,用于在移动GIS应用程序中快速检索基于栅格的地理空间数据
机译:使用Bloom过滤器提高Apache Spark上并行SPARQL查询处理的性能。
机译:一种混合多目标鲸类优化算法用于分析基于Apache Spark的微阵列数据
机译:地理平面索引(GPI)-一种高效的索引方案,用于在移动GIS应用程序中快速检索基于栅格的地理空间数据
机译:HDF5快速查询:用于简化数据存储,检索,索引和查询访问的apI