Edge/Fog Computing Technologies for IoT Infrastructure II

Affiliations

¹ School of Information and Communication Engineering, Chungbuk National University, Cheongju 28644, Republic of Korea.
² School of Artificial Intelligence, Daegu University, Gyeongsan 38453, Republic of Korea.
³ Department of Artificial Intelligence, Jeonju University, Jeonju 55069, Republic of Korea.

Editorial

Taehong Kim et al. Sensors (Basel). 2023.

. 2023 Apr 13;23(8):3953.

doi: 10.3390/s23083953.

¹ School of Information and Communication Engineering, Chungbuk National University, Cheongju 28644, Republic of Korea.
² School of Artificial Intelligence, Daegu University, Gyeongsan 38453, Republic of Korea.
³ Department of Artificial Intelligence, Jeonju University, Jeonju 55069, Republic of Korea.

Abstract

The prevalence of smart devices and cloud computing has led to an explosion in the amount of data generated by IoT devices [...].

The authors declare no conflict of interest.

1. Liutkevičius A., Morkevičius N., Venčkauskas A., Toldinas J. Distributed Agent-Based Orchestrator Model for Fog Computing. Sensors. 2022;22:5894. doi: 10.3390/s22155894. - DOI - PMC - PubMed
1. Hossain M.D., Sultana T., Hossain M.A., Layek M.A., Hossain M.I., Sone P.P., Lee G.-W., Huh E.-N. Dynamic Task Offloading for Cloud-Assisted Vehicular Edge Computing Networks: A Non-Cooperative Game Theoretic Approach. Sensors. 2022;22:3678. doi: 10.3390/s22103678. - DOI - PMC - PubMed
1. Liu X., Zhao X., Liu G., Huang F., Huang T., Wu Y. Collaborative Task Offloading and Service Caching Strategy for Mobile Edge Computing. Sensors. 2022;22:6760. doi: 10.3390/s22186760. - DOI - PMC - PubMed
1. Kim S.-H., Kim T. Local Scheduling in KubeEdge-Based Edge Computing Environment. Sensors. 2023;23:1522. doi: 10.3390/s23031522. - DOI - PMC - PubMed
1. Lim J. Latency-Aware Task Scheduling for IoT Applications Based on Artificial Intelligence with Partitioning in Small-Scale Fog Computing Environments. Sensors. 2022;22:7326. doi: 10.3390/s22197326. - DOI - PMC - PubMed