Fog computing: Survey of trends, architectures, requirements, and research directions
Emerging technologies such as the Internet of Things (IoT) require latency-aware
computation for real-time application processing. In IoT environments, connected things …
computation for real-time application processing. In IoT environments, connected things …
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] A review on fog computing: Architecture, fog with IoT, algorithms and research challenges
With the increasing advancement in the applications of the Internet of Things (IoT), the
integrated Cloud Computing (CC) faces numerous threats such as performance, security …
integrated Cloud Computing (CC) faces numerous threats such as performance, security …
Collaborative computation offloading and resource allocation in multi-UAV-assisted IoT networks: A deep reinforcement learning approach
In the fifth-generation (5G) wireless networks, Edge-Internet-of-Things (EIoT) devices are
envisioned to generate huge amounts of data. Due to the limitation of computation capacity …
envisioned to generate huge amounts of data. Due to the limitation of computation capacity …
A review of fog computing and machine learning: concepts, applications, challenges, and open issues
Systems based on fog computing produce massive amounts of data; accordingly, an
increasing number of fog computing apps and services are emerging. In addition, machine …
increasing number of fog computing apps and services are emerging. In addition, machine …
[HTML][HTML] Genetic Algorithm based feature selection and Naïve Bayes for anomaly detection in fog computing environment
The sharp rise in network attacks has been a major source of concern in cyber security,
particularly that now internet usage and connectivity are in high demand. As a complement …
particularly that now internet usage and connectivity are in high demand. As a complement …
[HTML][HTML] A comprehensive survey on reinforcement-learning-based computation offloading techniques in edge computing systems
In recent years, the number of embedded computing devices connected to the Internet has
exponentially increased. At the same time, new applications are becoming more complex …
exponentially increased. At the same time, new applications are becoming more complex …
Proposal for a new layer for energy cloud management: the regulatory layer
The global energy matrix has been transforming in recent years and today it is moving
toward a decentralized form of management for the generation of clean energy worldwide …
toward a decentralized form of management for the generation of clean energy worldwide …
Machine learning based unmanned aerial vehicle enabled fog-radio aerial vehicle enabled fog-radio access network and edge computing
M Seid, S Anokye - ZTE Communications, 2019 - zte.magtechjournal.com
The emerging unmanned aerial vehicle (UAV) technology and its applications have become
part of the massive Internet of Things (mIoT) ecosystem for future cellular networks. Internet …
part of the massive Internet of Things (mIoT) ecosystem for future cellular networks. Internet …
Role of machine learning in resource allocation of fog computing
Fog computing is a fundamental facilitating technology in the future of networks. It broadens
cloud computing services to its network edge, so that fog computing is able to bear the load …
cloud computing services to its network edge, so that fog computing is able to bear the load …