Research On Cluster-Based Parallel GIS with the Example of Parallelization on GRASS GIS
With the increasing availability of large quantity of geospatial data, and the growing complexity of spatial algorithms, they are the most compelling challenges to the GIS computing efficiency. Faced the problems of computing and I/O intensive, its an appropriate approach that involves the techniques such as distributed or parallel computing into GIS context.Some researches concerned into the parallelization algorithms for most all parts of GIS respectively, but few involved in the parallel architecture from integrating the specified overall GIS package into cluster. Fortunately, we discuss Multi-Uses Parallelization Model (MUPM) for GRASS GIS from making full use of its character of Multi-users, in which many GRASS users, located in different nodes,can work concurrently on subtasks. Under MUPM, the running function module maybe in sequential or parallel, i.e., most modules of GRASS can work in cluster with high performance without the need for redesigning and re-implementing existing algorithms.According to this, the framework, approach and key technologies etc. with Cluster-Based Parallel GIS are introduced Finally, some tentative results are also available for illustration.
Fang Huang Lv Pang Dingsheng Liu Peng Liu Shaogang Wang Yi Zeng Guoqing Li Wenyang Yu Jian Wang Lingjun Zhao
China Remote Sensing Satellite Ground Station, Chinese Academy of Sciences, Beijing, China;Institute Northeastern University, Shenyang, China China Remote Sensing Satellite Ground Station, Chinese Academy of Sciences, Beijing, China China Remote Sensing Satellite Ground Station, Chinese Academy of Sciences, Beijing, China;Institute
国际会议
第六届网格与协同计算国际会议(The Sixth International Conference on Grid and Cooperative Computing GCC 2007)
乌鲁木齐
英文
642-649
2007-08-16（万方平台首次上网日期，不代表论文的发表时间）