Cloud manufacturing service composition based on QoS with geo-perspective transportation using an improved Artificial Bee Colony optimisation algorithm
| Autor: | Lanshun Nie, Xiaofei Xu, Jorick Lartigau, Dechen Zhan |
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| Rok vydání: | 2015 |
| Předmět: |
Engineering
Scope (project management) Process (engineering) business.industry Strategy and Management Quality of service Cloud computing Management Science and Operations Research Service provider Computer security computer.software_genre Industrial engineering Industrial and Manufacturing Engineering Resource (project management) Order (business) Cloud manufacturing business computer |
| Zdroj: | International Journal of Production Research. 53:4380-4404 |
| ISSN: | 1366-588X 0020-7543 |
| DOI: | 10.1080/00207543.2015.1005765 |
| Popis: | Cloud Manufacturing (CMfg) ambitions to create dedicated manufacturing clouds (i.e. virtual enterprises) for complex manufacturing demands through the association of various service providers’ resources and capabilities. In order to insure a dedicated manufacturing cloud to match the level of customer’s requirements, the cloud service selection and composition appear to be a decisive process. This study takes common aspects of cloud services into consideration such as quality of service (QoS) parameters but extend the scope to the physical location of the manufacturing resources. Unlike the classic service composition, manufacturing brings additional constraints. Consequently, we propose a method based on QoS evaluation along with the geo-perspective correlation from one cloud service to another for transportation impact analysis. We also insure the veracity of the manufacturing time evaluation by resource availability overtime. Since the composition is an exhaustive process in terms of computational time... |
| Databáze: | OpenAIRE |
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