A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
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-tekijät tai -toimittajat


Julkaisun tiedot

Julkaisun kaikki tekijät tai toimittajat: Chang, Zheng; Liu, Liqing; Guo, Xijuan; Sheng, Quan

Lehti tai sarja: IEEE Transactions on Industrial Informatics

ISSN: 1551-3203

eISSN: 1941-0050

Julkaisuvuosi: 2021

Volyymi: 17

Lehden numero: 5

Artikkelin sivunumerot: 3348-3357

Kustantaja: IEEE

Julkaisumaa: Yhdysvallat (USA)

Julkaisun kieli: englanti

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

Julkaisun avoin saatavuus: Ei avoin

Julkaisukanavan avoin saatavuus:


Tiivistelmä

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.


YSO-asiasanat: esineiden internet; taajuusalueet; resursointi; optimointi

Vapaat asiasanat: fog computing; edge computing; dynamic computation offloading; Lyapunov optimization; energy harvesting; resource allocation


Liittyvät organisaatiot


OKM-raportointi: Kyllä

Raportointivuosi: 2021

Alustava JUFO-taso: 3


Viimeisin päivitys 2021-07-07 klo 17:55