Adaptation in edge computing: a review on design principles and research challenges
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 …
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 …
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 …
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 …
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 …
[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 …
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 …
Optimization techniques and applications in fog computing: An exhaustive survey
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 …
Coherent taxonomy of vehicular ad hoc networks (vanets)-enabled by fog computing: a review
Vehicular ad hoc networks (VANETs) are evolving rapidly with the advent of fog computing
(FC), which enhances their capabilities by bringing computational resources closer to the …
(FC), which enhances their capabilities by bringing computational resources closer to the …