A data grid is an architecture or set of services that allows users to access, modify and transfer extremely large amounts of geographically distributed data for research purposes.[1] Data grids make this possible through a host of middleware applications and services that pull together data and resources from multiple administrative domains and then present it to users upon request.
The data in a data grid can be located at a single site or multiple sites where each site can be its own administrative domain governed by a set of security restrictions as to who may access the data.[2] Likewise, multiple replicas of the data may be distributed throughout the grid outside their original administrative domain and the security restrictions placed on the original data for who may access it must be equally applied to the replicas.[3] Specifically developed data grid middleware is what handles the integration between users and the data they request by controlling access while making it available as efficiently as possible.
- ^ Allcock, Bill; Chervenak, Ann; Foster, Ian; et al. Data Grid tools: enabling science on big distributed data
- ^ Venugopal, Srikumar; Buyya, Rajkumar; Ramamohanarao, Kotagiri. A taxonomy of data grids for distributed data sharing - management and processing p.37
- ^ Shorfuzzaman, Mohammad; Graham, Peter; Eskicioglu, Rasit. Adaptive replica placement in hierarchical data grids. p.15