Fog Node Resource Allocation in Fog-Cloud Systems Using Reinforcement Learning

被引：0

作者：

Mokhtari, Masoud ^{[1
]}

Ganti, Sudhakar ^{[1
]}

机构：

[1] Univ Victoria, Dept Comp Sci, Victoria, BC, Canada

来源：

2025 IEEE 22ND CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE, CCNC | 2025年

关键词：

Reinforcement Learning; Resource Allocation; Fog Computing; Markov Decision Process (MDP);

D O I：

10.1109/CCNC54725.2025.10975979

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This research paper presents a new method focused on resource allocation in Fog computing systems. We propose an approach based on reinforcement learning that aims to maximize the utilization of Fog resources. By formulating the problem as a Markov Decision Process (MDP), we effectively address the complexities and uncertainties present in Fog computing systems. Through experimental evaluations, the results show the potential of our approach to enhance resource allocation in Fog computing environments.

引用

页数：2