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...
ions and concepts that let applications access and share resources and services across distributed, wide area networks, while providing common security semantics, distributed resou...
Ian T. Foster, Carl Kesselman, Jeffrey M. Nick, St...
Scientific visualization has emerged as an important tool for extracting meaning from the large volumes of data produced by scientific instruments and simulations. Increasingly, t...
Ian T. Foster, Joseph A. Insley, Gregor von Laszew...
Abstract--The Grid is an heterogeneous and dynamic environment which enables distributed computation. This makes it a technology prone to failures. Some related work uses replicati...
The use of real-time data streams in data-driven computational science is driving the need for stream processing tools that work within the architectural framework of the larger ap...