%0 Journal Article
%T A multidimensional extension¨Cbased method for resource performance matching in cloud manufacturing
%A Cheng Zhao
%A Guo-Jiang Shen
%A Li-Nan Zhu
%A Yan-Wei Zhao
%J Concurrent Engineering
%@ 1531-2003
%D 2018
%R 10.1177/1063293X17743542
%X Recently, cloud manufacturing has emerged as a type of networked cooperative manufacturing process. The cloud-manufacturing environment implies very large-scale manufacturing services with various manufacturing resources appearing as cloud services and with a huge number of service-performance indexes. In reality, every cloud service is typically divided into several submodules, each of which also contains many service-performance indexes. Because this makes performance matching quite difficult, the question arises of how to select a suitable cloud service. In this work, we adopt a so-called matter-element model to describe the cloud service and the user requirement. In addition, for resource selection, we present a matching method in which module performance similarity is calculated from multidimensional extension distance. The results of a case study illustrate the implementation of the proposed method
%K cloud manufacturing
%K resource selection
%K performance matching
%K multidimensional extension
%K cloud services
%K coarse grain
%U https://journals.sagepub.com/doi/full/10.1177/1063293X17743542