Experience With Adapting a WS-BPEL Runtime for eScience Workflows
Scientists believe in the concept of collective intelligence and are increasingly collaborating with their peers, sharing data and simulation techniques. These collaborations are made possible by building eScience infrastructures. eScience infrastructures build and assemble various scientific workflow and data management tools which provide rich end user functionality while abstracting the complexities of many underlying technologies. For instance, workflow systems provide a means to execute complex sequence of tasks with or without intensive user intervention and in ways that support flexible reordering and reconfiguration of the workflow.