Asymptotically Optimal Distributed Gateway Load-Balancing for the Internet of Things

Author(s):  
Ilai Bistritz ◽  
Nicholas Bambos

Fog computing is one of the enabling computing technology which primarily aims to fulfill the requirements of the Internet of Things (IoT). IoT is fast-growing networking and computing sector. The scalability of users, devices, and application is crucial for the success of IoT systems. The load balancing is an approach to distribute the load among computing nodes so that the computing nodes are not overloaded. In this paper, we propose the priority-based request servicing at fog computing centers. We particularly address the situation when the fog node in fog computing center (FCC) receives more workload than their capacity to handle it. The increased workload is shifted to nearby fog nodes rather than to the remote cloud. The proposed approach is able to minimize the offloading the high priority request to other nodes by 11% which proves the novelty of our proposed.


2020 ◽  
Vol 79 (4) ◽  
pp. 343-352
Author(s):  
M. Ilchenko ◽  
T. M. Narytnyk ◽  
V. Prisyazhny ◽  
Sergii Kapshtyk ◽  
S. Matvienko

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 64983-65000
Author(s):  
Zeinab Nezami ◽  
Kamran Zamanifar ◽  
Karim Djemame ◽  
Evangelos Pournaras

2020 ◽  
pp. 1-12
Author(s):  
Zhang Caiqian ◽  
Zhang Xincheng

The existing stand-alone multimedia machines and online multimedia machines in the market have certain deficiencies, so they cannot meet the actual needs. Based on this, this research combines the actual needs to design and implement a multi-media system based on the Internet of Things and cloud service platform. Moreover, through in-depth research on the MQTT protocol, this study proposes a message encryption verification scheme for the MQTT protocol, which can solve the problem of low message security in the Internet of Things communication to a certain extent. In addition, through research on the fusion technology of the Internet of Things and artificial intelligence, this research designs scheme to provide a LightGBM intelligent prediction module interface, MQTT message middleware, device management system, intelligent prediction and push interface for the cloud platform. Finally, this research completes the design and implementation of the cloud platform and tests the function and performance of the built multimedia system database. The research results show that the multimedia database constructed in this paper has good performance.


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