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A multidimensional extension-based method for resource performance matching in cloud manufacturing

机译：基于多维扩展的云制造资源性能匹配方法

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摘要

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.
机译：最近，云制造已经成为一种网络化的协作制造过程。云制造环境意味着非常大规模的制造服务，其中各种制造资源都以云服务的形式出现，并且具有大量的服务性能指标。实际上，每个云服务通常分为几个子模块，每个子模块还包含许多服务性能指标。由于这使得性能匹配变得非常困难，因此出现了如何选择合适的云服务的问题。在这项工作中，我们采用一种所谓的物元模型来描述云服务和用户需求。另外，对于资源选择，我们提出一种匹配方法，其中从多维扩展距离计算模块性能相似度。案例研究的结果说明了该方法的实现。

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