Composing geoinformatics workflows with user preferences
David Chiu, Sagar Deshpande, Gagan Agrawal, Rongxing Li · 2008
With the advent of the data grid came a novel distributed scientific computing paradigm known as service-oriented sci-ence. Among the plethora of systems included under this framework are scientific workflow management systems, which enable large-scale process scheduling and execution. To en-sure quality of service, these systems typically seek to min-imize workflow execution time as well as costs for slices of data grid access. The geospatial domain, among other sci-ences, involves yet another optimization factor, the accu-racy of results. The relationship between execution time and workflow accuracy can often be exploited to offer more flexibility in handling user preferences. We present a system which meets user constraints through a dynamic adjustment of the accuracy of workflow results.