A multidimensional extension–based method for resource performance matching in cloud manufacturing. (September 2018)

• Record Type: Journal Article
• Authors: Zhu, Li-Nan; Zhao, Yan-Wei; Zhao, Cheng; Shen, Guo-Jiang
• Is Part Of: Concurrent engineering, research and applications. Volume 26:Number 3(2018:Sep.)
• Page Start: 276
• Page End: 286
• Publication Date: 2018-09
• Subjects: cloud manufacturing -- resource selection -- performance matching -- multidimensional extension -- cloud services -- coarse grain; Production engineering -- Periodicals; Concurrent engineering -- Periodicals; 621.39
• DOI: 10.1177/1063293X17743542
• Languages: English
• ISSNs: 1063-293X

Abstract

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.