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Title	An Efficient Edge Computing Management Mechanism For Sustainable Smart Cities
ID_Doc	7837
Authors	Vu Khanh Q.; Nguyen V.-H.; Minh Q.N.; Dang Van A.; Le Anh N.; Chehri A.
Year	2023
Published	Sustainable Computing: Informatics and Systems, 38
DOI	http://dx.doi.org/10.1016/j.suscom.2023.100867
Abstract	Since ancient times, humanity has envisioned a world where people and things connect and interact. The advent of generation mobile systems, the so-called 5 G in the early century, has realized this dream. 5 G can provide network services with extremely-high throughput and extremely-low delay and allows a huge device number to connect based on Internet infrastructure, forming the Internet of Things (IoT). In recent years, IoT has been applied in various fields serving humanity, such as smart cities, smart agriculture, healthcare, education, military, and IoT ecosystems. One of the main challenges of IoT applications is computing solutions to reduce service response times. This study proposes an efficient edge computing management mechanism for IoT applications in smart cities. Our mechanism proposes a small database (called an information map) that allows edge computing servers of smart cities to store edge service information. When the mobile end-users move to the new edge server' managed coverage, properties related to the EC service are exchanged between the edge servers. The experiment results have shown that our proposed mechanism improves service response time and energy consumption many times compared to the traditional mechanism. We hope that this mechanism will be strongly applied to sustainable smart cities in the future. © 2023 Elsevier Inc.
Author Keywords	Cloud computing; Edge computing; Internet of Things; Real-time applications; Smart cities

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