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:
Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/93729
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; resourcing; optimisation
Free keywords: fog computing; edge computing; dynamic computation offloading; Lyapunov optimization; energy harvesting; resource allocation
Contributing organizations
Ministry reporting: Yes
Reporting Year: 2021
JUFO rating: 3