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 …

[HTML][HTML] Modern computing: Vision and challenges

SS Gill, H Wu, P Patros, C Ottaviani, P Arora… - … and Informatics Reports, 2024 - Elsevier
Over the past six decades, the computing systems field has experienced significant
transformations, profoundly impacting society with transformational developments, such as …

Edge AI: A taxonomy, systematic review and future directions

SS Gill, M Golec, J Hu, M Xu, J Du, H Wu, GK Walia… - Cluster …, 2025 - Springer
Abstract Edge Artificial Intelligence (AI) incorporates a network of interconnected systems
and devices that receive, cache, process, and analyse data in close communication with the …

[HTML][HTML] Advancements in natural language processing: Implications, challenges, and future directions

AP Wibawa, F Kurniawan - Telematics and Informatics Reports, 2024 - Elsevier
This research delves into the latest advancements in Natural Language Processing (NLP)
and their broader implications, challenges, and future directions. With the ever-increasing …

Resource allocation of industry 4.0 micro-service applications across serverless fog federation

RF Hussain, MA Salehi - Future Generation Computer Systems, 2024 - Elsevier
The Industry 4.0 revolution has been made possible via AI-based applications (eg, for
automation and maintenance) deployed on the serverless edge (aka fog) computing …

Multi-agent DRL for edge computing: A real-time proportional compute offloading

K Jia, H **a, R Zhang, Y Sun, K Wang - Computer Networks, 2024 - Elsevier
Abstract In the Industrial Internet of Things, devices with limited computing power and
energy storage often rely on offloading tasks to edge servers for processing. However …

Intelligent and efficient task caching for mobile edge computing

A Moradi, F Rezaei - Cluster Computing, 2024 - Springer
Given the problems with a centralized cloud and the emergence of ultra-low latency
applications, and the needs of the Internet of Things (IoT), it has been found that novel …

Task offloading framework to meet resiliency demand in mobile edge computing system

A Garg, R Arya, MP Singh - Sustainable Computing: Informatics and …, 2024 - Elsevier
With the development of 5 G mobile users are increasing massively. Some mobile
applications like healthcare are latency-critical and requires real-time data processing. A …

Computation cost-driven offloading strategy based on reinforcement learning for consumer devices

R Zhang, H **a, Z Chen, Z Kang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Edge computing extends computational capabilities to the physical edge of the world,
providing faster and more efficient responses to consumer devices such as smart home …

Optimizing Task Offloading with Metaheuristic Algorithms Across Cloud, Fog, and Edge Computing Networks: A Comprehensive Survey and State-of-the-Art Schemes

AM Rahmani, A Haider, P Khoshvaght… - … Informatics and Systems, 2025 - Elsevier
Abstract The Internet of Things (IoT) significantly impacts various industries, enabling better
connectivity and real-time data exchange for applications ranging from smart cities to …