Abstract: Service workflow needs to deal with a large number of heterogeneous data interactions between services. Different data processing approaches can directly affect workflow execution efficiency. Some data modeling issues such as dataflow implementation models, data mapping techniques and dataflow validation approaches were firstly presented.Then, several data management topics during workflow execution were discussed, including dataflow schedule, data storage challenges and data transfer challenges. In addition, the current situation of dataflow processing in service workflow was analyzed. Finally,combined with the existing data flow related works, some future research directions of dataflow were pointed out

Key words: Service workflow, Dataflow