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International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications

DependSys 2019: Dependability in Sensor, Cloud, and Big Data Systems and Applications pp 170–179Cite as

Recommender System for Decentralized Cloud Manufacturing

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1123))

Abstract

In today’s competitive markets where it is essential to provide high-quality results in order to cope up with the enormous and ever-growing demand for manufacturing resources, selection of optimal Cloud Manufacturing service provider and efficient service scheduling is the core of achieving high-quality and prompt outcomes. This paper elaborates on the use of recommender system to filter out the best candidate CMfg service provider based on various factors in a distributed model for an easily adaptable framework. This work is probably valuable for future research on the selection criterion of service providers and improving the efficiency of CMfg process as a whole.

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Acknowledgments

The work described in this paper is supported in part by National Natural Science Foundation of China under Grants 61632009 & 61876062, in part by the Guangdong Provincial Natural Science Foundation under Grant 2017A030308006, High-Level Talents Program of Higher Education in Guangdong Province under Grant 2016ZJ01, and the postdoctoral funding of Hunan University of Science and Technology, funding number 903-E61804.

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Authors and Affiliations

  1. School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, 411201, China

    Karim Alinani & Dong Zhou

  2. School of Mechanical Engineering, Hunan University of Science and Technology, Xiangtan, 411201, China

    Deshun Liu

  3. School of Computer Science, Guanzhou University, Guanzhou, 510006, China

    Guojun Wang

Authors
  1. Karim Alinani
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  2. Deshun Liu
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  3. Dong Zhou
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  4. Guojun Wang
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Corresponding author

Correspondence to Karim Alinani .

Editor information

Editors and Affiliations

  1. Guangzhou University, Guangzhou, China

    Guojun Wang

  2. Fordham University, New York, USA

    Md Zakirul Alam Bhuiyan

  3. Università degli Studi di Milano, Milan, Italy

    Sabrina De Capitani di Vimercati

  4. Hangzhou Dianzi University, Hangzhou, China

    Yizhi Ren

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Cite this paper

Alinani, K., Liu, D., Zhou, D., Wang, G. (2019). Recommender System for Decentralized Cloud Manufacturing. In: Wang, G., Bhuiyan, M.Z.A., De Capitani di Vimercati, S., Ren, Y. (eds) Dependability in Sensor, Cloud, and Big Data Systems and Applications. DependSys 2019. Communications in Computer and Information Science, vol 1123. Springer, Singapore. https://doi.org/10.1007/978-981-15-1304-6_14

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  • DOI: https://doi.org/10.1007/978-981-15-1304-6_14

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-1303-9

  • Online ISBN: 978-981-15-1304-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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