The invention discloses a safely-sensed scientific workflow data layout method under cloud computing environment. For any scientific workflow application task, the method comprises the steps of: placing a fixed position data set on a specified data center according to properties of the data set, selecting an appropriate data center according to factors of data safety lack degree, date importance degree, cost of data transmitting across the data center and the like in combination with an ant colony optimization; and finally selecting the appropriate date center for the scientific workflow task by adopting a computing node selecting method based on maximize scientific workflow task safety service. The method is simple in structure, high in executing efficiency, and suitable for layout of scientific workflow data= under the cloud computing environment, and data safety requirements are met while time cost of data transmitting across the data center is reduced.