AI-based fog and edge computing: A systematic review, taxonomy and future directions
Resource management in computing is a very challenging problem that involves making
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …
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
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 …
At the confluence of artificial intelligence and edge computing in iot-based applications: A review and new perspectives
Given its advantages in low latency, fast response, context-aware services, mobility, and
privacy preservation, edge computing has emerged as the key support for intelligent …
privacy preservation, edge computing has emerged as the key support for intelligent …
Task offloading in fog computing: A survey of algorithms and optimization techniques
The exponential growth in Internet of Things (IoT) devices and the limitations of cloud
computing in terms of latency and quality of service for time-sensitive applications have led …
computing in terms of latency and quality of service for time-sensitive applications have led …
Reinforcement learning methods for computation offloading: a systematic review
Z Zabihi, AM Eftekhari Moghadam… - ACM Computing …, 2023 - dl.acm.org
Today, cloud computation offloading may not be an appropriate solution for delay-sensitive
applications due to the long distance between end-devices and remote datacenters. In …
applications due to the long distance between end-devices and remote datacenters. In …
Machine and deep learning for resource allocation in multi-access edge computing: A survey
With the rapid development of Internet-of-Things (IoT) devices and mobile communication
technologies, Multi-access Edge Computing (MEC) has emerged as a promising paradigm …
technologies, Multi-access Edge Computing (MEC) has emerged as a promising paradigm …
Intelligence at the extreme edge: A survey on reformable tinyml
Machine Learning (TinyML) is an upsurging research field that proposes to democratize the
use of Machine Learning and Deep Learning on highly energy-efficient frugal …
use of Machine Learning and Deep Learning on highly energy-efficient frugal …
Offloading mechanisms based on reinforcement learning and deep learning algorithms in the fog computing environment
DH Abdulazeez, SK Askar - Ieee Access, 2023 - ieeexplore.ieee.org
Fog computing has emerged as a computing paradigm for resource-restricted Internet of
things (IoT) devices to support time-sensitive and computationally intensive applications …
things (IoT) devices to support time-sensitive and computationally intensive applications …
State-of-the-art load balancing algorithms for mist-fog-cloud assisted paradigm: a review and future directions
The rapid growth of IoT devices leads to increasing requests. These tremendous requests
cannot be processed by IoT devices due to the computational power of IoT devices and the …
cannot be processed by IoT devices due to the computational power of IoT devices and the …
Metaverse for wireless systems: Architecture, advances, standardization, and open challenges
The growing landscape of emerging wireless applications is a key driver towards the
development of novel wireless system designs. Such a design can be based on a metaverse …
development of novel wireless system designs. Such a design can be based on a metaverse …