Performance-matching-based resource selection for cloud manufacturing

Abstract

Cloud manufacturing is emerged as a kind of networked cooperative manufacturing mode. Under cloud manufacturing environment, the manufacturing resources appear as cloud services, and the amount of their performances is very large, so every cloud service has some sub-modules every one of which also contains many service performance indexes. How to select a suitable cloud service by performance matching is very difficult. In this paper, the authors employ matter-element model to describe the cloud service and user’s requirement, and propose a matching method by calculating module similarity with multidimensional extension distance for resource selection. A case study is also provided for illustrating the implementation of the method.