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.
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Acknowledgement
This work was partly supported by the National Natural Science Foundation of China (Grant No. 51275477 and 61572438), the Natural Science Foundation of Zhejiang Province, China (Grant No. LQ15E050006), and the Science and Technique Program of Zhejiang Province, China (Grant No. 2015C31059).
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Zhu, LN., Zhao, YW., Shen, GJ. (2016). Performance-Matching-Based Resource Selection for Cloud Manufacturing. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2016. Lecture Notes in Computer Science(), vol 9929. Springer, Cham. https://doi.org/10.1007/978-3-319-46771-9_4
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DOI: https://doi.org/10.1007/978-3-319-46771-9_4
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