Change Sequence Mining in Context-Aware Scientific Workflow

Abstract

Grid computing technology makes it possibly to use scientific workflow to be shared and reused among different users. However, a scientific workflow model usually needs to be tailored during reuse because of different problem contexts met by different users. These change logs provide additional information to help users customize scientific workflow. In this paper, we present a change sequence mining approach to automatically induce customized workflow based on different scientific experiment contexts. A docking case for drug design is described to validate the approach.