A Unified Framework for Periodic, On-Demand, and User-Specified Software Information
GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing
Mesh: secure, lightweight grid middleware using existing SSH infrastructure
Proceedings of the 12th ACM symposium on Access control models and technologies
Dynamic resource selection heuristics for a non-reserved bidding-based Grid environment
Future Generation Computer Systems
Average schedule length and resource selection policies on computational grids
GPC'06 Proceedings of the First international conference on Advances in Grid and Pervasive Computing
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Grid computing aims to connect large numbers of geographically and organizationally distributed resources to increase computational power resource utilization, and resource accessibility. In order to effectively utilize Grids, users need to be connected to the best available resources at any given time. As Grids are in constant flux, users cannot be expected to keep up with the configuration and status of the Grid, thus they must be provided with automatic resource brokering for selecting and ranking resources meeting constraints and preferences they specify. This work presents a new OGSI-compliant resource selection and ranking framework called Surfer that has been implemented as part of NASA's Information Power Grid (IPG) project. Surfer is highly extensible and may be integrated into any Grid environment by adding information providers knowledgeable about that environment. Surfer invisibly and seamlessly correlates results from different providers into a single unified view seen by the user.