ITCC '05 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume I - Volume 01
A grid-based architecture for earth observation data access
Proceedings of the 2005 ACM symposium on Applied computing
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
A taxonomy of Data Grids for distributed data sharing, management, and processing
ACM Computing Surveys (CSUR)
Effective Acquisition of Geospatial Data Products in a Collaborative Grid Environment
SCC '06 Proceedings of the IEEE International Conference on Services Computing
A Grid-Enabled Architecture for Geospatial Data Sharing
APSCC '06 Proceedings of the 2006 IEEE Asia-Pacific Conference on Services Computing
Towards an integrated GIS-based coastal forecast workflow
Concurrency and Computation: Practice & Experience - Grids and Geospatial Information Systems
Building and applying geographical information system Grids
Concurrency and Computation: Practice & Experience - Grids and Geospatial Information Systems
Spatially enabling governments through SDI implementation
International Journal of Geographical Information Science
A grid-based collaborative virtual geographic environment for the planning of silt dam systems
International Journal of Geographical Information Science
Geospatial Resource Description Framework (GRDF) and security constructs
Computer Standards & Interfaces
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A grid is concerned with the integration, virtualization, and management of services and resources in a distributed, heterogeneous environment that supports virtual organizations across traditional administrative and organizational domains. Spatial data infrastructures (SDI) aim to make spatial data from multiple sources available and usable to as wide an audience as possible. The first SDIs of the 1990s followed a top---down approach with the focus on data production and centralization. In recent years, SDIs have seen a huge increase in the number of participants, necessitating a more dynamic bottom-up approach. While much research has been done on web services and SDIs, research on the use of data grids for SDIs is limited. In this paper an emergency response scenario is presented to illustrate how the data grid approach can be used as a decentralized platform for address data in a dynamic SDI. Next, Compartimos (Spanish for `we share') is presented, a reference model for an address data grid in an SDI based on the Open Grid Services Architecture (OGSA). Compartimos identifies the essential components and their capabilities required for a decentralized address data grid in a dynamic SDI. It deviates from the current centralized approach, allows data resources to come and go and node hosts to grow and shrink as necessary. An address data grid in an SDI is both a novel application for data grids as well as a novel technology in SDI environments and thus advances the mutual understanding between data grids and SDIs. In conclusion, additional research required for address data grids in SDIs is discussed.