[HTML][HTML] Edge AI: a survey
Artificial Intelligence (AI) at the edge is the utilization of AI in real-world devices. Edge AI
refers to the practice of doing AI computations near the users at the network's edge, instead …
refers to the practice of doing AI computations near the users at the network's edge, instead …
[HTML][HTML] A review on fog computing: Architecture, fog with IoT, algorithms and research challenges
H Sabireen, V Neelanarayanan - Ict Express, 2021 - Elsevier
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 …
[HTML][HTML] All one needs to know about fog computing and related edge computing paradigms: A complete survey
Abstract With the Internet of Things (IoT) becoming part of our daily life and our environment,
we expect rapid growth in the number of connected devices. IoT is expected to connect …
we expect rapid growth in the number of connected devices. IoT is expected to connect …
[HTML][HTML] A survey of federated learning for edge computing: Research problems and solutions
Federated Learning is a machine learning scheme in which a shared prediction model can
be collaboratively learned by a number of distributed nodes using their locally stored data. It …
be collaboratively learned by a number of distributed nodes using their locally stored data. It …
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 …
[HTML][HTML] Fog computing and the internet of things: A review
With the rapid growth of Internet of Things (IoT) applications, the classic centralized cloud
computing paradigm faces several challenges such as high latency, low capacity and …
computing paradigm faces several challenges such as high latency, low capacity and …
A comprehensive survey on fog computing: State-of-the-art and research challenges
Cloud computing with its three key facets (ie, Infrastructure-as-a-Service, Platform-as-a-
Service, and Software-as-a-Service) and its inherent advantages (eg, elasticity and …
Service, and Software-as-a-Service) and its inherent advantages (eg, elasticity and …
Resource management in fog/edge computing: a survey on architectures, infrastructure, and algorithms
CH Hong, B Varghese - ACM Computing Surveys (CSUR), 2019 - dl.acm.org
Contrary to using distant and centralized cloud data center resources, employing
decentralized resources at the edge of a network for processing data closer to user devices …
decentralized resources at the edge of a network for processing data closer to user devices …
Securing fog computing for internet of things applications: Challenges and solutions
Internet of Things (IoT) allows billions of physical objects to be connected to collect and
exchange data for offering various applications, such as environmental monitoring …
exchange data for offering various applications, such as environmental monitoring …
Fog computing: A taxonomy, survey and future directions
In recent years, the number of Internet of Things (IoT) devices/sensors has increased to a
great extent. To support the computational demand of real-time latency-sensitive …
great extent. To support the computational demand of real-time latency-sensitive …