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A comprehensive survey on using fog computing in vehicular networks
K Behravan, N Farzaneh, M Jahanshahi… - Vehicular …, 2023 - Elsevier
With the advent of fog computing, its use to provide real-time services at the network's edge
has increased. However, running computationally-demanding applications in smart vehicles …
has increased. However, running computationally-demanding applications in smart vehicles …
Adaptation in edge computing: a review on design principles and research challenges
F Golpayegani, N Chen, N Afraz, E Gyamfi… - ACM Transactions on …, 2024 - dl.acm.org
Edge computing places the computational services and resources closer to the user
proximity, to reduce latency, and ensure the quality of service and experience. Low latency …
proximity, to reduce latency, and ensure the quality of service and experience. Low latency …
QoE-aware efficient content distribution scheme for satellite-terrestrial networks
The satellite-terrestrial networks (STN) utilize the spacious coverage and low transmission
latency of the Low Earth Orbit (LEO) constellation to transfer requested content for …
latency of the Low Earth Orbit (LEO) constellation to transfer requested content for …
An efficient edge computing management mechanism for sustainable smart cities
Since ancient times, humanity has envisioned a world where people and things connect and
interact. The advent of generation mobile systems, the so-called 5 G in the early century, has …
interact. The advent of generation mobile systems, the so-called 5 G in the early century, has …
CoPace: Edge computation offloading and caching for self-driving with deep reinforcement learning
Currently, self-driving, emerging as a key automatic application, has brought a huge
potential for the provision of in-vehicle services (eg, automatic path planning) to mitigate …
potential for the provision of in-vehicle services (eg, automatic path planning) to mitigate …
Distributed reinforcement learning for privacy-preserving dynamic edge caching
Mobile edge computing (MEC) is a prominent computing paradigm which expands the
application fields of wireless communication. Due to the limitation of the capacities of user …
application fields of wireless communication. Due to the limitation of the capacities of user …
Unsupervised recurrent federated learning for edge popularity prediction in privacy-preserving mobile-edge computing networks
Nowadays, wireless communication is rapidly resha** entire industry sectors. In particular,
mobile-edge computing (MEC) as an enabling technology for the Industrial Internet of …
mobile-edge computing (MEC) as an enabling technology for the Industrial Internet of …
[HTML][HTML] Cache in fog computing design, concepts, contributions, and security issues in machine learning prospective
The massive growth of diversified smart devices and continuous data generation poses a
challenge to communication architectures. To deal with this problem, communication …
challenge to communication architectures. To deal with this problem, communication …
A systematic review on resource provisioning in fog computing
Resource provisioning is allocating resources to clients over the Internet and plays a
prominent role in cloud computing infrastructure‐as‐a‐service (IaaS). The main issues of …
prominent role in cloud computing infrastructure‐as‐a‐service (IaaS). The main issues of …
Optimization techniques and applications in fog computing: An exhaustive survey
SO Ogundoyin, IA Kamil - Swarm and Evolutionary Computation, 2021 - Elsevier
This paper presents an all-inclusive review of the optimization methods and their
applications in fog computing. We put forward a taxonomy of the optimization techniques …
applications in fog computing. We put forward a taxonomy of the optimization techniques …