Digital Earth has been a hot topic and research trend since it was proposed,and Digital China has drawn much attention in China.As a key technique to implement Digital China,grid is an excellent and promising concept ...Digital Earth has been a hot topic and research trend since it was proposed,and Digital China has drawn much attention in China.As a key technique to implement Digital China,grid is an excellent and promising concept to construct a dynamic,inter-domain and distributed computing environment.It is appropriate to process geographic information across dispersed computing resources in networks effectively and cooperatively.A distributed spatial computing prototype system is designed and implemented with the Globus Toolkit.Several important aspects are discussed in detail.The architecture is proposed according to the characteristics of grid firstly,and then the spatial resource query and access interfaces are designed for heterogeneous data sources.An open-up hierarchical architecture for resource discovery and management is represented to detect spatial and computing resources in grid.A standard spatial job management mechanism is implemented by grid service for convenient use.In addition,the control mechanism of spatial datasets access is developed based on GSI.The prototype system utilizes the Globus Toolkit to implement a common distributed spatial computing framework,and it reveals the spatial computing ability of grid to support Digital China.展开更多
Grid computing is deemed as a good solution to the digital earth infrastructure.Various geographically dispersed geospatial resources can be connected and merged into a‘supercomputer’by using the grid-computing tech...Grid computing is deemed as a good solution to the digital earth infrastructure.Various geographically dispersed geospatial resources can be connected and merged into a‘supercomputer’by using the grid-computing technology.On the other side,geosensor networks offer a new perspective for collecting physical data dynamically and modeling a real-time virtual world.Integrating geosensor networks and grid computing in geosensor grid can be compared to equipping the geospatial information grid with‘eyes’and‘ears.’Thus,real-time information in the physical world can be processed,correlated,and modeled to enable complex and advanced geospatial analyses on geosensor grid with capability of high-performance computation.There are several issues and challenges that need to be overcome before geosensor grid comes true.In this paper,we propose an integrated framework,comprising the geosensor network layer,the grid layer and the application layer,to address these design issues.Key technologies of the geosensor grid framework are discussed.And,a geosensor grid testbed is set up to illustrate the proposed framework and improve our geosensor grid design.展开更多
基金supported by the National High Technology Research and Development Program of China ("863" Program)(Grant Nos.2007AA120502,SQ2008AA12Z2475654)the National Natural Science Foundation of China (Grant Nos.40701134,40771171,40928001)National Key Technologies R&D Program of China (Grant Nos.2006BAJ14B04,2008BAJ11B04)
文摘Digital Earth has been a hot topic and research trend since it was proposed,and Digital China has drawn much attention in China.As a key technique to implement Digital China,grid is an excellent and promising concept to construct a dynamic,inter-domain and distributed computing environment.It is appropriate to process geographic information across dispersed computing resources in networks effectively and cooperatively.A distributed spatial computing prototype system is designed and implemented with the Globus Toolkit.Several important aspects are discussed in detail.The architecture is proposed according to the characteristics of grid firstly,and then the spatial resource query and access interfaces are designed for heterogeneous data sources.An open-up hierarchical architecture for resource discovery and management is represented to detect spatial and computing resources in grid.A standard spatial job management mechanism is implemented by grid service for convenient use.In addition,the control mechanism of spatial datasets access is developed based on GSI.The prototype system utilizes the Globus Toolkit to implement a common distributed spatial computing framework,and it reveals the spatial computing ability of grid to support Digital China.
基金supported by the following grants:National High Technology Development 863 Program of China(2007AA120502,2009AA12Z231)China Postdoctoral Science Foundation-funded project(20090460126).
文摘Grid computing is deemed as a good solution to the digital earth infrastructure.Various geographically dispersed geospatial resources can be connected and merged into a‘supercomputer’by using the grid-computing technology.On the other side,geosensor networks offer a new perspective for collecting physical data dynamically and modeling a real-time virtual world.Integrating geosensor networks and grid computing in geosensor grid can be compared to equipping the geospatial information grid with‘eyes’and‘ears.’Thus,real-time information in the physical world can be processed,correlated,and modeled to enable complex and advanced geospatial analyses on geosensor grid with capability of high-performance computation.There are several issues and challenges that need to be overcome before geosensor grid comes true.In this paper,we propose an integrated framework,comprising the geosensor network layer,the grid layer and the application layer,to address these design issues.Key technologies of the geosensor grid framework are discussed.And,a geosensor grid testbed is set up to illustrate the proposed framework and improve our geosensor grid design.
