The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Nowadays, GIS software is entering a new era of Grid GIS. Represented by Grid GIS, the next generation GIS has become the frontline and hot issue in both the academic community and the industrial sector. However, implementing Grid GIS is confronted with a great deal of challenges, among which Grid-based geospatial computational task processing is the key issue. This paper proposes a new conceptual...
Geospatial data is the core of spatial information system. It is always a research hotspot of how to realize the sharing and integration applications of distributed geospatial data. OGC has developed a number of web services specifications that enable the interoperation of heterogeneous geospatial data sources. Grid is the technology enabling resource sharing and coordinated problem solving in dynamic,...
Energy shortage brings the challenge of "high-efficiency, high-quality" to evaluation of mineral resources. Subject to conditions, general softwares for evaluation of mineral resources are mainly used in the stand-alone environment, while geological spatial data are often cross-regional, cross-platform and stored distributed. With the rapid development of grid computing, various distributed...
The Barn project, a spatial data grid prototype under development currently, provides a grid environment for applications of the nationwide geological survey data. Within Barn, in order to reduce data access latency, avoid a single point of failure, and increase the performance and load-balance of the system, we have designed and implemented a set of replica management services. These services, based...
The Barn project, a spatial data grid prototype under development currently, provides a grid environment for applications of the nationwide geological survey data. In order to save and manage raster data in the grid environment, we should take many factors into account, such as massive data, multisource, index rebuilding, pyramid re-creating and etc. All these factors influence the logical and physical...
Spatial Data Grid allows for solving larger problems and executing applications that traditional Web GIS (Geographic Information System) can not handle efficiently. The purpose of this paper is to design and implement a new mechanism to organize miscellaneous Vector Map Services, built on GT 4 (Globus Toolkit 4), and based on WSRF (Web Services Resource Framework). In this paper, we illustrate the...
The Barn project, a geospatial data grid prototype, provides a grid environment for applications of the nationwide geological survey data. Barn is developed based on the Globus Toolkit. Through Web portal, users can manage the grid resources, perform browsing, querying and analysis against the spatial data. According geospatial application nodes are organized into application domains. The node management...
The integration of services in heterogeneous, distributed grid environment is dynamic and diverse because of the disparate resources. Hence, this integration can be technically challenged due to the need of achieving various service when running on different platforms. So, in a grid environment, implementations of GIS (geographic information system) should not only concern their internal spatial characteristics,...
Recently, there has been a fast proliferation of applications creating geospatial data distributed somewhere that has to be processed, queried and analyzed efficiently. Consequently, there is a need for effective data processing technologies that are able to support such distributed query and analysis operations. The emergence of grid computing offers a well solution to accomplish this goal. Development...
Map service, the most frequently used service in mobile navigation application, is always the bottle-neck due to the continual map refresh, limitation capacity of wireless network and the vast data volume of the vector map. Data prefetching, responsible for fetching data from Map Server forehand, is considered to be an efficient way to increase map refresh. However, the sticking point is to decrease...
It is currently one of the hottest research areas of geospatial informatics to integrate OGC specifications with Globus-based Grid technology to develop geospatial Grid. In Grid systems, the security of resources outsourced from multiple organizations is very critical. However, the authorization mechanisms provided in the Globus Toolkit cannot realize the fine-grained and geospatial access control...
Traffic congestion is a severe problem in urban areas of many countries. The adoption of ITS make commuters' travel convenient but cannot eliminate automobiles from the highways. The existing ridesharing services increase the efficiency of the transportation network but is limited by self-issues. Our approach is a dynamic ride sharing community service architecture combining ITS, ridesharing and social...
The research on the sharing and interoperation of geospatial information is always a hotspot in GIS field. Many methods have been proposed such as data format transform, data direct access, Web GIS and data interoperation. These technologies have made great progresses in the sharing and interoperability of geospatial information. But there are many unconquerable problems such as the process of the...
The grid is a distributed computing infrastructure that supports the sharing and coordinated use of various resources in virtual organizations. The grid can be used for compute intensive tasks and data intensive applications. Data mining algorithms are intensive compute and data, and spatial data are heterogeneous, multidimensional and stored at various places. Therefore, the grid can provide a computing...
Spatial Information Grid is an ideal infrastructure to handle the data-intensive and computing-intensive geo-spatial processing. In order that each agency could ad hoc connect to this computing environment and make autonomous decision, we build a Geospatial Data Grid in peer-to-peer way. The query processor module in each peer can decompose the user's query into sub-queries that executed in different...
Data Grid, which consists of several geographically distributed datacenters linked by high speed network, is an ideal platform for the data-intensive and computing-intensive scientific computing. Besides improving the computing performance and the data processing capabilities, the replication service among the nodes improves failure resistance and increase system availability. Replica selection is...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.