  The LOFAR radio telescope creates Petabytes of data per year. This data is
important for many scientific projects. The data needs to be efficiently
processed within the timespan of these projects in order to maximize the
scientific impact. We present a workflow orchestration system that integrates
LOFAR processing with a distributed computing platform. The system is named
Automated Grid-enabled LOFAR Workflows (AGLOW). AGLOW makes it fast and easy to
develop, test and deploy complex LOFAR workflows, and to accelerate them on a
distributed cluster architecture. AGLOW provides a significant reduction in
time for setting up complex workflows: typically, from months to days. We lay
out two case studies that process the data from the LOFAR Surveys Key Science
Project. We have implemented these into the AGLOW environment. We also describe
the capabilities of AGLOW, paving the way for use by other LOFAR science cases.
In the future, AGLOW will automatically produce multiple science products from
a single dataset, serving several of the LOFAR Key Science Projects.
