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Learning process models in IoT Edge

Cheng, Long orcid logoORCID: 0000-0003-1638-059X, Liu, Cong, Liu, Qingzhi, Duan, Yucong orcid logoORCID: 0000-0001-8417-892X and Murphy, John orcid logoORCID: 0000-0001-7822-1573 (2019) Learning process models in IoT Edge. In: 2019 IEEE World Congress on Services (SERVICES), 8 - 13 July 2019, Milan, Italy.

Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Computational modeling; Servers;Petri nets; Edge computing; Real-time systems; Data models; Cloud computing
Subjects:UNSPECIFIED
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in: 2019 IEEE World Congress on Services. . IEEE.
Publisher:IEEE
Official URL:http://dx.doi.org/10.1109/SERVICES.2019.00043
Copyright Information:2019 IEEE
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 799066
ID Code:24291
Deposited On:19 Mar 2020 15:38 by Long Cheng . Last Modified 19 Mar 2020 15:38
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