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System Development & Application
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 8
2429-2434

Servitization encapsulation and publishing strategy for cloud manufacturing resources based on tensor theory

Li Zhoujian
Guo Yinzhang
Laboratory of Internet of Things & Cloud Computing Technology, Taiyuan University of Science & Technology, Taiyuan 030024, China
DOI: 10.19734/j.issn.1001-3695.2022.12.0817

Abstract

To address the problem of data heterogeneity and unified resource description in the centralized and dispersed ser-vice process of intelligent manufacturing in cloud computing environments, based on the analysis of the existing cloud manufacturing resource service packaging and publishing technology, this paper proposed a tensor-based cloud resource service encapsulation and publishing strategy by leveraging the technical characteristics of tensor theory in describing heterogeneous data. Firstly, it classified cloud manufacturing resources and providing encapsulation methods for different resources. Next, it defined tensor models for different types of cloud manufacturing resources based on tensor theory, established low-order sub-tensors according to different resource service properties, and used the tensor extension operator to fuse the low-order sub-tensors, embedded various attribute information into the high-order tensor space to achieve unified representation of cloud manufacturing resources. It provided a unified encapsulation template and formal description for manufacturing resources, manufacturing capabilities, and design resources. Finally, it proposed a cloud manufacturing resource service deployment and publishing strategy, designed and developed a cloud manufacturing resource service encapsulation and publishing system, and validated the effectiveness of the proposed method through examples.

Foundation Support

山西省自然科学基金资助项目(2019011044)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.12.0817
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 8
Section: System Development & Application
Pages: 2429-2434
Serial Number: 1001-3695(2023)08-029-2429-06

Publish History

[2023-03-13] Accepted Paper
[2023-08-05] Printed Article

Cite This Article

李州健, 郭银章. 一种基于张量理论的云制造资源服务化封装与发布策略 [J]. 计算机应用研究, 2023, 40 (8): 2429-2434. (Li Zhoujian, Guo Yinzhang. Servitization encapsulation and publishing strategy for cloud manufacturing resources based on tensor theory [J]. Application Research of Computers, 2023, 40 (8): 2429-2434. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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