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...
Current scientific workflow models require datasets to be transferred from their source to the hosts where they can be processed. This seriously impedes data-intensive application...
Scientific workflow systems are increasingly used to automate complex data analyses, largely due to their benefits over traditional approaches for workflow design, optimization, a...
In this paper we propose DFL -- a formal, graphical workflow language for dataflows, i.e., workflows where large amounts of complex data are manipulated, and the structure of the ...
Jan Hidders, Natalia Kwasnikowska, Jacek Sroka, Je...
Production grids are complex and highly variable systems whose behavior is not well understood and difficult to anticipate. The goal of this study is to estimate the impact of the ...