Affiliation:
1. Department of Information Management, Chinese Culture University, Taipei 111, Taiwan
Abstract
In a smart parking system, the license plate recognition service controls the car’s entry and exit and plays the core role in the parking lot system. When the Internet is interrupted, the parking lot’s business will also be interrupted. Hence, we proposed an Edge-Cloud-Dew architecture for the mobile industry in order to tackle this critical problem. The architecture has an innovative design, including LAN-level deployment, Platform-as-a-Dew Service (PaaDS), the dew version of license plate recognition, and the dew type of machine learning model training. Based on these designs, the architecture presents many benefits, such as: (1) reduced maintenance and deployment issues and increased dew service reliability and sustainability; (2) effective release of the network constraint on cloud computing and increase in the horizontal and vertical scalability of the system; (3) enhancement of dew computing to resolve the heavy computing process problem; and (4) proposal of a dew type of machine learning training mechanism without requiring periodic retraining, but with acceptable accuracy. Finally, business owners can reduce their burdens when introducing machine learning technology. Our research goal is to make parking systems smarter in edge computing through the integration of cloud and dew architecture technology.
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering
Reference29 articles.
1. A Survey of Smart Parking Solutions;Lin;IEEE Trans. Intell. Transp. Syst.,2017
2. A Cloud-Based Smart-Parking System Based on Internet-of-Things Technologies;Pham;IEEE Access,2015
3. Farooqi, N., Alshehri, S., Nollily, S., Najmi, L., Alqurashi, G., and Alrashedi, A. (2019, January 20–21). UParking: Developing a Smart Parking Management System Using the Internet of Things. Proceedings of the 2019 Sixth HCT Information Technology Trends (ITT), Ras Al Khaimah, United Arab Emirates.
4. Definition and Categorization of Dew Computing;Wang;Open J. Cloud Comput.,2016
5. Fox, R., and Hao, W. (2017). Internet Infrastructure: Networking, Web Services, and Cloud Computing, CRC Press.
Cited by
3 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