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Can I read An Efficient Edge Computing Management Mechanism for Sustainable Smart Cities on EtoBox?
An Efficient Edge Computing Management Mechanism for Sustainable Smart Cities by Quy Vu Khanh; Van-Hau Nguyen; Quy Nguyen Minh; Anh Dang Van; Ngoc Le Anh; Abdellah Chehri is a Computer Science article available to read on EtoBox.
What is An Efficient Edge Computing Management Mechanism for Sustainable Smart Cities about?
Since ancient times, humanity has envisioned a world where people and things connect and interact. The advent of generation mobile systems, the so-called 5G in the early century, has realized this dream. 5G 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 consump
Who reads An Efficient Edge Computing Management Mechanism for Sustainable Smart Cities?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Quy Vu Khanh; Van-Hau Nguyen; Quy Nguyen Minh; Anh Dang Van; Ngoc Le Anh; Abdellah Chehri
- Publisher
- Elsevier BV
- Published
- 2023
- Language
- EN
- Field
- Computer Science (Physical Sciences)