Saxton模型能估算较多土壤水分特征参数且考虑容重、砾石和盐分影响而被广泛应用于农业、水文等领域。研究基于Saxton模型及IDL(Interactive data language)语言开发土壤水分特征软件平台,利用土壤属性数据进行土壤水分特征栅格计算,实...Saxton模型能估算较多土壤水分特征参数且考虑容重、砾石和盐分影响而被广泛应用于农业、水文等领域。研究基于Saxton模型及IDL(Interactive data language)语言开发土壤水分特征软件平台,利用土壤属性数据进行土壤水分特征栅格计算,实现空间制图,有效解决水文运动模型模拟应用过程中栅格化土壤水分特征参数缺乏问题。该平台软件界面友好,操作简单易行高效,既可为现有模型应用提供输入参数,也可作为单独模块嵌入已有软件中使用,具有较好兼容性。展开更多
Digital city is a synthetic project in which large geographic and trade data are involved in, thus data sharing becomes a key problem. Grid GIS is an outcome of integrating GIS and network techniques, it has a lot of ...Digital city is a synthetic project in which large geographic and trade data are involved in, thus data sharing becomes a key problem. Grid GIS is an outcome of integrating GIS and network techniques, it has a lot of characteristic of network technique such as heterogeneous, extensible, dynamic auto-adaptable, the multistage management, etc. The advantages of parallel processing of grid computing are obvious when it is used in basic data platform construction of digital city. The architecture and core techniques of Grid GIS which suitable for constructing basic data platform of digital city was discussed, it has some guidance effects to the city information building.展开更多
This paper presents DDGrid, a novel Grid computing system for drug discovery and design. By utilizing the idle resources donated by the clusters that scatter over the Internet, DDGrid can implement efficient data-inte...This paper presents DDGrid, a novel Grid computing system for drug discovery and design. By utilizing the idle resources donated by the clusters that scatter over the Internet, DDGrid can implement efficient data-intensive biologic applications. The high-level resource management framework with a Grid-P2P hybrid architecture is described. With P2P technologies, some problems which are inevitable in the master-slave model can be avoided, such as single point of failure or performance bottleneck. Then an agent-based resource scheduling algorithm is presented. With this scheduling algorithm, the idle computational resources are dynamically scheduled according to the real-time working load on each execution node. Thus DDGrid can hold an excellent load balance state. Furthermore, the framework is introduced into the practical protein molecules docking applications. Solid experimental results show the load balance and robustness of the proposed system, which can greatly speed up the process of protein molecules docking.展开更多
文摘Saxton模型能估算较多土壤水分特征参数且考虑容重、砾石和盐分影响而被广泛应用于农业、水文等领域。研究基于Saxton模型及IDL(Interactive data language)语言开发土壤水分特征软件平台,利用土壤属性数据进行土壤水分特征栅格计算,实现空间制图,有效解决水文运动模型模拟应用过程中栅格化土壤水分特征参数缺乏问题。该平台软件界面友好,操作简单易行高效,既可为现有模型应用提供输入参数,也可作为单独模块嵌入已有软件中使用,具有较好兼容性。
基金This work is supported by the MIC ( Ministry of Information and Communication) , Korea ,under the ITRC(Information Technology Research Center) support program supervised by the IITA (Institute of Information Technology Assess-ment) .
文摘Digital city is a synthetic project in which large geographic and trade data are involved in, thus data sharing becomes a key problem. Grid GIS is an outcome of integrating GIS and network techniques, it has a lot of characteristic of network technique such as heterogeneous, extensible, dynamic auto-adaptable, the multistage management, etc. The advantages of parallel processing of grid computing are obvious when it is used in basic data platform construction of digital city. The architecture and core techniques of Grid GIS which suitable for constructing basic data platform of digital city was discussed, it has some guidance effects to the city information building.
文摘This paper presents DDGrid, a novel Grid computing system for drug discovery and design. By utilizing the idle resources donated by the clusters that scatter over the Internet, DDGrid can implement efficient data-intensive biologic applications. The high-level resource management framework with a Grid-P2P hybrid architecture is described. With P2P technologies, some problems which are inevitable in the master-slave model can be avoided, such as single point of failure or performance bottleneck. Then an agent-based resource scheduling algorithm is presented. With this scheduling algorithm, the idle computational resources are dynamically scheduled according to the real-time working load on each execution node. Thus DDGrid can hold an excellent load balance state. Furthermore, the framework is introduced into the practical protein molecules docking applications. Solid experimental results show the load balance and robustness of the proposed system, which can greatly speed up the process of protein molecules docking.
