: Computational and data Grids couple geographically distributed resources such as high performance computers, workstations, clusters, and scientific instruments. Grid Workflows co...
David Abramson, Jagan Kommineni, John L. McGregor,...
The Java language and platform have been considered by many as natural candidate for creating grid systems. The platform-independent runtime environment, safe and high-level langu...
In this paper we present design and development of the semantic grid services for the flood forecasting simulations. We will highlight the corresponding architecture and the proc...
Marian Babik, Emil Gatial, Ondrej Habala, Ladislav...
A key goal of grid computing is to provide seamless access to shared computational and data resources across organizational boundaries, in distributed virtual organizations. Grid ...
Onur Demir, Michael R. Head, Kanad Ghose, Madhusud...
Service-Oriented Architecture (SOA) plays an important role in the next generation computing models for scientific and commercial applications. But difficulties in the development...