Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)

Association Analysis-Based Aggregation Method for Resource Virtualization in Cloud Manufacturing

Authors
Xuhao Li1, Youling Chen1, *
1College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, China
*Corresponding author. Email: 18742543184@163.com
Corresponding Author
Youling Chen
Available Online 30 June 2023.
DOI
10.2991/978-94-6463-172-2_204How to use a DOI?
Keywords
Cloud Manufacturing; Virtualization; Resource Aggregation; Data Mining
Abstract

Cloud manufacturing resource virtualization is the basis for cloud manufacturing services to be carried out, where resource virtualization aggregation is an important way to improve the efficiency of subsequent resource allocation and scheduling. However, current resource aggregation methods mostly construct qualitative rules in a task-oriented manner with insufficient reusability and low quantification. To this end, this paper proposes a bottom-up resource virtualization aggregation method based on association analysis using data mining algorithms. Firstly, we construct a target transaction model for manufacturing activities. Secondly, the multiple minimum support MS-Apriori algorithm is employed to extract frequent resource item sets and association relationships within virtualization resources from historical manufacturing data transaction sets, and the virtualized resources are aggregated according to related resource information fusion. Specifically, the concept of multiple minimum support and the support tuning model are introduced to optimize the insufficient objectivity of support threshold setting in the traditional Apriori algorithm. Finally, we apply the resource aggregation process with examples to verify the effectiveness and feasibility of proposed method.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
30 June 2023
ISBN
978-94-6463-172-2
ISSN
2589-4900
DOI
10.2991/978-94-6463-172-2_204How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Xuhao Li
AU  - Youling Chen
PY  - 2023
DA  - 2023/06/30
TI  - Association Analysis-Based Aggregation Method for Resource Virtualization in Cloud Manufacturing
BT  - Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)
PB  - Atlantis Press
SP  - 1841
EP  - 1854
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-172-2_204
DO  - 10.2991/978-94-6463-172-2_204
ID  - Li2023
ER  -