The practical realization of managing and executing large scale scientific computations efficiently and reliably is quite challenging. Scientific computations often invo...
Yong Zhao, Ioan Raicu, Ian T. Foster, Mihael Hateg...
: 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,...
Efficient data management is a key component in achieving good performance for scientific workflows in distributed environments. Workflow applications typically communicate data be...
In this paper we describe the Pegasus system that can map complex workflows onto the Grid. takes an abstract description of a workflow and finds the appropriate data and Grid reso...
Ewa Deelman, James Blythe, Yolanda Gil, Carl Kesse...
Scientific workflows are frequently being used to model complex phenomena, to analyze instrumental data, to tie together information from distributed sources, and to pursue other ...