A1 Journal article (refereed)
Dynamic Resource Allocation and Computation Offloading for IoT Fog Computing System (2021)


Chang, Z., Liu, L., Guo, X., & Sheng, Q. (2021). Dynamic Resource Allocation and Computation Offloading for IoT Fog Computing System. IEEE Transactions on Industrial Informatics, 17(5), 3348-3357. https://doi.org/10.1109/TII.2020.2978946


JYU authors or editors


Publication details

All authors or editors: Chang, Zheng; Liu, Liqing; Guo, Xijuan; Sheng, Quan

Journal or series: IEEE Transactions on Industrial Informatics

ISSN: 1551-3203

eISSN: 1941-0050

Publication year: 2021

Volume: 17

Issue number: 5

Pages range: 3348-3357

Publisher: IEEE

Publication country: United States

Publication language: English

DOI: https://doi.org/10.1109/TII.2020.2978946

Publication open access: Not open

Publication channel open access:


Abstract

Fog computing system emerges as one of the promising technology for realizing the Internet of Things (IoT). By offloading the computational tasks to the fog node (FN) at the network edge, both the service latency and energy consumption can be improved. However, the dynamics of computational resource usages in the FN, the radio environment and the energy in the battery of IoT devices make the offloading mechanism design become challenging. Therefore, in this paper, we propose a dynamic optimization scheme for the IoT fog computing system with multiple mobile devices (MDs), where the radio and computational resources, and offloading decisions, can be dynamically coordinated and allocated with the variation of radio resources and computation demands. Specifically, we propose a joint computation offloading and radio resource allocation algorithm based on Lyapunov optimization to minimize the system cost. Through performance evaluation, the effectiveness of the proposed scheme can be verified.


Keywords: Internet of things; frequency bands; resource allocation; optimisation

Free keywords: fog computing; edge computing; dynamic computation offloading; Lyapunov optimization; energy harvesting; resource allocation


Contributing organizations


Ministry reporting: Yes

Reporting Year: 2021

Preliminary JUFO rating: 3


Last updated on 2021-07-07 at 17:55