Cloud service selection method based on overall similarity in cloud manufacturing environment

Abstract

The physical location of manufacturing services cannot be considered well in cloud service selection. In order to solve this problem, a cloud service selection considering the physical location of the manufacturing service is proposed. First, the cloud manufacturing service is described. Second, the type, functional attributes, physical location and service QoS are considered, and manufacturing service chain is formed according to manufacturing task flow. Finally, thresholds and weights are designed by combining four similarity algorithms to narrow the scope of result set and improve accuracy. The analysis of numerical examples shows, this method can narrow the selection range, and ensure that the selected manufacturing services and manufacturing tasks have a high degree of similarity.