There is a strong desire within scientific communities to Grid-enable
their experiments. This is fueled by the advantages of having remote (collaborative) access to instruments, computational resources and storage. In order to make the scientists experience as rewarding as possible two technologies need to be adopted into the Grid paradigm. Those of workflow, to allow the whole scientific process to be
automated, and Quality of Service (QoS) to ensure that this automation meets the scientists needs and expectations. In this paper we present an end-to-end workflow pipeline which takes a users design and automates the processes of workflow design, resource selections and reservation through to enacting the workflow on the Grid. Thus removing much of the complexity inherent within this process.
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