Remote sensing applications often concern very large volumes of spatio-temporal data, the emerging Grid computing technologies bring an effective solution to this problem. The Open...
Running workloads in a grid environment is often a challenging problem due the scale of the environment, and to the resource partitioning based on various sharing strategies. A res...
This paper describes the design and implementation of a model of how to integrate sensors and devices into a GRID infrastructure. We describe its proxy-based approach, the port-ty...
Jan Humble, Chris Greenhalgh, Alastair Hampshire, ...
The Southern California Earthquake Center digital library publishes scientific data generated by seismic wave propagation simulations. The output from a single simulation may be as...
Data-intensive, interactive applications are an important class of metacomputing (Grid) applications. They are characterized by large, time-varying data flows between data provid...