Data lineage and data provenance are key to the management of scientific data. Not knowing the exact provenance and processing pipeline used to produce a derived data set often re...
In this paper we look at the application of XML data management support in scientific data analysis workflows. We describe a software infrastructure that aims to address issues as...
Shannon Hastings, Matheus Ribeiro, Stephen Langell...
Selection of resources for execution of scientific workflows in data grids becomes challenging with the exponential growth of files as a result of the distribution of scientific e...
Workflows are widely used for representing business processes, web services, scientific experiments, and activities in daily life, like recipes. There is an increasing need for peo...
Abstract Workflows are prevailing in scientific computation. Multicluster environments emerge and provide more resources, benefiting workflows but also challenging the traditional ...