AI-empowered fog/edge resource management for IoT applications: A comprehensive review, research challenges and future perspectives
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 …
domains embracing healthcare, Industry 4.0, transportation and agriculture are giving rise to …
[HTML][HTML] Modern computing: Vision and challenges
Over the past six decades, the computing systems field has experienced significant
transformations, profoundly impacting society with transformational developments, such as …
transformations, profoundly impacting society with transformational developments, such as …
Edge AI: A taxonomy, systematic review and future directions
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 …
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
This research delves into the latest advancements in Natural Language Processing (NLP)
and their broader implications, challenges, and future directions. With the ever-increasing …
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
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 …
automation and maintenance) deployed on the serverless edge (aka fog) computing …
Multi-agent DRL for edge computing: A real-time proportional compute offloading
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 …
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 …
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
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 …
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 …
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
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 …
connectivity and real-time data exchange for applications ranging from smart cities to …