AI-based fog and edge computing: A systematic review, taxonomy and future directions

S Iftikhar, SS Gill, C Song, M Xu, MS Aslanpour… - Internet of Things, 2023 - Elsevier
Resource management in computing is a very challenging problem that involves making
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …

AI-empowered fog/edge resource management for IoT applications: A comprehensive review, research challenges and future perspectives

GK Walia, M Kumar, SS Gill - IEEE Communications Surveys & …, 2023 - ieeexplore.ieee.org
The proliferation of ubiquitous Internet of Things (IoT) sensors and smart devices in several
domains embracing healthcare, Industry 4.0, transportation and agriculture are giving rise to …

Joint task offloading and resource allocation for energy-constrained mobile edge computing

H Jiang, X Dai, Z Xiao, A Iyengar - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
We consider the problem of task offloading and resource allocation in mobile edge
computing (MEC). To maintain satisfactory quality of experience (QoE) of end-users, mobile …

A survey of recent advances in edge-computing-powered artificial intelligence of things

Z Chang, S Liu, X Xiong, Z Cai… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) has created a ubiquitously connected world powered by a
multitude of wired and wireless sensors generating a variety of heterogeneous data over …

Resource allocation and task scheduling in fog computing and internet of everything environments: A taxonomy, review, and future directions

B Jamil, H Ijaz, M Shojafar, K Munir… - ACM Computing Surveys …, 2022 - dl.acm.org
The Internet of Everything paradigm is being rapidly adopted in developing applications for
different domains like smart agriculture, smart city, big data streaming, and so on. These IoE …

HunterPlus: AI based energy-efficient task scheduling for cloud–fog computing environments

S Iftikhar, MMM Ahmad, S Tuli, D Chowdhury, M Xu… - Internet of Things, 2023 - Elsevier
Cloud computing is a mainstay of modern technology, offering cost-effective and scalable
solutions to a variety of different problems. The massive shift of organization resource needs …

A blockchain-based scheme for secure data offloading in healthcare with deep reinforcement learning

Q He, Z Feng, H Fang, X Wang, L Zhao… - … /ACM Transactions on …, 2023 - ieeexplore.ieee.org
With the widespread popularity of the Internet of Things and various intelligent medical
devices, the amount of medical data is rising sharply, and thus medical data processing has …

Scheduling IoT applications in edge and fog computing environments: A taxonomy and future directions

M Goudarzi, M Palaniswami, R Buyya - ACM Computing Surveys, 2022 - dl.acm.org
Fog computing, as a distributed paradigm, offers cloud-like services at the edge of the
network with low latency and high-access bandwidth to support a diverse range of IoT …

An Intelligent Proposed Model for Task Offloading in Fog‐Cloud Collaboration Using Logistics Regression

MM Bukhari, TM Ghazal, S Abbas… - Computational …, 2022 - Wiley Online Library
Smart applications and intelligent systems are being developed that are self‐reliant,
adaptive, and knowledge‐based in nature. Emergency and disaster management …

Cost minimization-oriented computation offloading and service caching in mobile cloud-edge computing: An A3C-based approach

H Zhou, Z Wang, H Zheng, S He… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper considers computation offloading and service caching in a three-tier mobile
cloud-edge computing structure, in which Mobile Users (MUs) have subscribed to the Cloud …