Composition modeling for manufacturing resource cloud service-Reference-Cited by-同舟云学术

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Composition modeling for manufacturing resource cloud service

Published:2019-12-20 Issue:2 Volume:14 Page:135-147
ISSN:1863-2386
Container-title:Service Oriented Computing and Applications
language:en
Short-container-title:SOCA

Author:

Yi Guodong,Hu Hangjian,Zhang Shuyou,Sun Longfei

Funder

National Natural Science Foundation of China

National Key R&D Program of China

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Management Information Systems,Software

Link

http://link.springer.com/content/pdf/10.1007/s11761-019-00280-y.pdf

Reference49 articles.

1. Lu YQ, Xu X (2017) A semantic web-based framework for service composition in a cloud manufacturing environment. J Manuf Syst 42:69–81. https://doi.org/10.1016/j.jmsy.2016.11.004

2. Zhou L, Zhang L, Ren L (2018) Modelling and simulation of logistics service selection in cloud manufacturing. Procedia CIRP 72:916–921. https://doi.org/10.1016/j.procir.2018.03.197

3. Hayyolalam V, Kazem AAP (2018) A systematic literature review on QoS-aware service composition and selection in cloud environment. J Netw Comput Appl 110:52–74. https://doi.org/10.1016/j.jnca.2018.03.003

4. Vakili A, Navimipour NJ (2017) Comprehensive and systematic review of the service composition mechanisms in the cloud environments. J Netw Comput Appl 81:24–36. https://doi.org/10.1016/j.jnca.2017.01.005

5. Wang DD, Yang Y, Mi ZQ (2015) A genetic-based approach to web service composition in geo-distributed cloud environment. Comput Electr Eng 43:129–141. https://doi.org/10.1016/j.compeleceng.2014.10.008

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. Software deployment in manufacturing environments: A requirements analysis;2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA);2022-09-06

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