Research on Task-Service Network Node Matching Method Based on Multi-Objective Optimization Model in Dynamic Hyper-Network Environment

In order to reduce the cost of manufacturing and service for the Cloud 3D printing (C3DP) manufacturing grid, to solve the problem of resources optimization deployment for no-need preference under circumstance of cloud manufacturing, consider the interests of enterprises which need Cloud 3D printing...

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Autores principales:	Cheng-lei Zhang, Jia-jia Liu, Hu Han, Xiao-jie Wang, Bo Yuan, Shen-le Zhuang, Kang Yang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	cloud manufacturing (CMfg) Cloud 3D printing (C3DP) device resources complex network manufacturing resource services Service-oriented manufacturing (SOM) task-service Mechanical engineering and machinery TJ1-1570
Acceso en línea:	https://doaj.org/article/5c41fc01980c451a899759b0343dcfef
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id	oai:doaj.org-article:5c41fc01980c451a899759b0343dcfef
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spelling	oai:doaj.org-article:5c41fc01980c451a899759b0343dcfef2021-11-25T18:23:55ZResearch on Task-Service Network Node Matching Method Based on Multi-Objective Optimization Model in Dynamic Hyper-Network Environment10.3390/mi121114272072-666Xhttps://doaj.org/article/5c41fc01980c451a899759b0343dcfef2021-11-01T00:00:00Zhttps://www.mdpi.com/2072-666X/12/11/1427https://doaj.org/toc/2072-666XIn order to reduce the cost of manufacturing and service for the Cloud 3D printing (C3DP) manufacturing grid, to solve the problem of resources optimization deployment for no-need preference under circumstance of cloud manufacturing, consider the interests of enterprises which need Cloud 3D printing resources and cloud platform operators, together with QoS and flexibility of both sides in the process of Cloud 3D printing resources configuration service, a task-service network node matching method based on Multi-Objective optimization model in dynamic hyper-network environment is built for resource allocation. This model represents interests of the above-mentioned two parties. In addition, the model examples are solved by modifying Mathematical algorithm of Node Matching and Evolutionary Solutions. Results prove that the model and the algorithm are feasible, effective and stable.Cheng-lei ZhangJia-jia LiuHu HanXiao-jie WangBo YuanShen-le ZhuangKang YangMDPI AGarticlecloud manufacturing (CMfg)Cloud 3D printing (C3DP) device resourcescomplex networkmanufacturing resource servicesService-oriented manufacturing (SOM)task-serviceMechanical engineering and machineryTJ1-1570ENMicromachines, Vol 12, Iss 1427, p 1427 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	cloud manufacturing (CMfg) Cloud 3D printing (C3DP) device resources complex network manufacturing resource services Service-oriented manufacturing (SOM) task-service Mechanical engineering and machinery TJ1-1570
spellingShingle	cloud manufacturing (CMfg) Cloud 3D printing (C3DP) device resources complex network manufacturing resource services Service-oriented manufacturing (SOM) task-service Mechanical engineering and machinery TJ1-1570 Cheng-lei Zhang Jia-jia Liu Hu Han Xiao-jie Wang Bo Yuan Shen-le Zhuang Kang Yang Research on Task-Service Network Node Matching Method Based on Multi-Objective Optimization Model in Dynamic Hyper-Network Environment
description	In order to reduce the cost of manufacturing and service for the Cloud 3D printing (C3DP) manufacturing grid, to solve the problem of resources optimization deployment for no-need preference under circumstance of cloud manufacturing, consider the interests of enterprises which need Cloud 3D printing resources and cloud platform operators, together with QoS and flexibility of both sides in the process of Cloud 3D printing resources configuration service, a task-service network node matching method based on Multi-Objective optimization model in dynamic hyper-network environment is built for resource allocation. This model represents interests of the above-mentioned two parties. In addition, the model examples are solved by modifying Mathematical algorithm of Node Matching and Evolutionary Solutions. Results prove that the model and the algorithm are feasible, effective and stable.
format	article
author	Cheng-lei Zhang Jia-jia Liu Hu Han Xiao-jie Wang Bo Yuan Shen-le Zhuang Kang Yang
author_facet	Cheng-lei Zhang Jia-jia Liu Hu Han Xiao-jie Wang Bo Yuan Shen-le Zhuang Kang Yang
author_sort	Cheng-lei Zhang
title	Research on Task-Service Network Node Matching Method Based on Multi-Objective Optimization Model in Dynamic Hyper-Network Environment
title_short	Research on Task-Service Network Node Matching Method Based on Multi-Objective Optimization Model in Dynamic Hyper-Network Environment
title_full	Research on Task-Service Network Node Matching Method Based on Multi-Objective Optimization Model in Dynamic Hyper-Network Environment
title_fullStr	Research on Task-Service Network Node Matching Method Based on Multi-Objective Optimization Model in Dynamic Hyper-Network Environment
title_full_unstemmed	Research on Task-Service Network Node Matching Method Based on Multi-Objective Optimization Model in Dynamic Hyper-Network Environment
title_sort	research on task-service network node matching method based on multi-objective optimization model in dynamic hyper-network environment
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/5c41fc01980c451a899759b0343dcfef
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Research on Task-Service Network Node Matching Method Based on Multi-Objective Optimization Model in Dynamic Hyper-Network Environment

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