Research on Task-Service Network Node Matching Method Based on Multi-Objective Optimization Model in Dynamic Hyper-Network Environment
| Autor: | Bo Yuan, Hu Han, Jiajia Liu, Xiao-jie Wang, Kang Yang, Shenle Zhuang, Cheng-lei Zhang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Service (systems architecture)
Matching (statistics) Computer science business.industry Mechanical Engineering Quality of service Distributed computing Node (networking) manufacturing resource services Service-oriented manufacturing (SOM) Cloud computing Multi-objective optimization Article complex network Control and Systems Engineering Cloud 3D printing (C3DP) device resources TJ1-1570 Resource allocation Mechanical engineering and machinery Electrical and Electronic Engineering Cloud manufacturing cloud manufacturing (CMfg) business task-service |
| Zdroj: | Micromachines; Volume 12; Issue 11; Pages: 1427 Micromachines, Vol 12, Iss 1427, p 1427 (2021) Micromachines |
| ISSN: | 2072-666X |
| DOI: | 10.3390/mi12111427 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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