Performance Analysis of an Edge Computing System for Real Time Computations and Mobile Users

Author(s):  
Romano Fantacci ◽  
Benedetta Picano
2019 ◽  
Vol 9 (11) ◽  
pp. 2308 ◽  
Author(s):  
Juyong Lee ◽  
Daeyoub Kim ◽  
Jihoon Lee

Recently, new mobile applications and services have appeared thanks to the rapid development of mobile devices and mobile network technology. Cloud computing has played an important role over the past decades, providing powerful computing capabilities and high-capacity storage space to efficiently deliver these mobile services to mobile users. Nevertheless, existing cloud computing delegates computing to a cloud server located at a relatively long distance, resulting in significant delays due to additional time to return processing results from a cloud server. These unnecessary delays are inconvenient for mobile users because they are not suitable for applications that require a real-time service environment. To cope with these problems, a new computing concept called Multi-Access Edge Computing (MEC) has emerged. Instead of sending all requests to the central cloud to handle mobile users’ requests, the MEC brings computing power and storage resources to the edge of the mobile network. It enables the mobile user device to run the real-time applications that are sensitive to latency to meet the strict requirements. However, there is a lack of research on the efficient utilization of computing resources and mobility support when mobile users move in the MEC environment. In this paper, we propose the MEC-based mobility management scheme that arranges MEC server (MECS) as the concept of Zone so that mobile users can continue to receive content and use server resources efficiently even when they move. The results show that the proposed scheme reduce the average service delay compared to the existing MEC scheme. In addition, the proposed scheme outperforms the existing MEC scheme because mobile users can continuously receive services, even when they move frequently.


2020 ◽  
Vol 17 (8) ◽  
pp. 45-57
Author(s):  
Xiequn Dong ◽  
Xuehua Li ◽  
Xinwei Yue ◽  
Wei Xiang

2020 ◽  
Vol 69 (2) ◽  
pp. 2049-2057 ◽  
Author(s):  
Alessio Bonadio ◽  
Francesco Chiti ◽  
Romano Fantacci

2021 ◽  
Author(s):  
Jesús Gil Ruiz ◽  
Franklin Guillermo Montenegro ◽  
Daissi Bibiana Gonzalez Roldan ◽  
Gabriel Vargas Monroy ◽  
Carlos Enrique Montenegro-Marin ◽  
...  

Abstract This work presents an Internet of Things (IoT) system and edge computing for monitoring crop conditions by developing a system to collect information on parameters related to the crop weather conditions, this data is recollected with edge computing system. The data is sent to the server for processing, then forwarded to the user via the IoT protocols and procedures. The purpose is to collect data in real time for analysis and allow decision-making by the system and the farmer. The user can interact with the system remotely and receive the specified alerts and conditions. The initial results show that the system provides complete information on the status of the parameters, enabling management of greenhouse crops.


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 30467-30479 ◽  
Author(s):  
Jie Tang ◽  
Shaoshan Liu ◽  
Liangkai Liu ◽  
Bo Yu ◽  
Weisong Shi

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