Grid service spread applied to remote sensing processing

To accomplish a computational task, it requires at least two components, data and executable codes. In Grid computing environment, executable codes are provided as grid services and data are frequently transmitted In Internet or Intranet. Remote sensing applications always process large quantitative data. When these applications are ImplemeJnted In Grid environment, data transmission will badly decrease the computational efficiency. To solve this problem, a new Grid computational model, Grid Service Spread (GSS) model, is presented In this paper. It transmits Grid services Instead of data. Compared to remote sensing data, remote sensing Grid services' quantity is very small. So that it can Improve the computational efficiency. Many experiments proved that GSS is doable and effective for remote sensing processing. The results of the experiments are provided In the paper. © 2005 IEEE.