[图书][B] Fog and edge computing: principles and paradigms
R Buyya, SN Srirama - 2019 - books.google.com
A comprehensive guide to Fog and Edge applications, architectures, and technologies
Recent years have seen the explosive growth of the Internet of Things (IoT): the internet …
Recent years have seen the explosive growth of the Internet of Things (IoT): the internet …
Deep learning and reconfigurable platforms in the internet of things: Challenges and opportunities in algorithms and hardware
RF Molanes, K Amarasinghe… - IEEE industrial …, 2018 - ieeexplore.ieee.org
As the Internet of Things (IoT) continues its run as one of the most popular technology
buzzwords of today, the discussion really turns from how the massive data sets are collected …
buzzwords of today, the discussion really turns from how the massive data sets are collected …
[HTML][HTML] Deep learning for the industrial internet of things (iiot): A comprehensive survey of techniques, implementation frameworks, potential applications, and future …
The Industrial Internet of Things (IIoT) refers to the use of smart sensors, actuators, fast
communication protocols, and efficient cybersecurity mechanisms to improve industrial …
communication protocols, and efficient cybersecurity mechanisms to improve industrial …
Edge and fog computing enabled AI for IoT-an overview
In recent years, Artificial Intelligence (AI) has been widely deployed in a variety of business
sectors and industries, yielding numbers of revolutionary applications and services that are …
sectors and industries, yielding numbers of revolutionary applications and services that are …
Big data analytics in industrial IoT using a concentric computing model
The unprecedented proliferation of miniaturized sensors and intelligent communication,
computing, and control technologies have paved the way for the development of the …
computing, and control technologies have paved the way for the development of the …
The convergence and interplay of edge, fog, and cloud in the AI-driven Internet of Things (IoT)
Abstract The Internet of Things (IoT) tsunami, public embracement, and the ubiquitous
adoption of smart devices are affecting virtually every industry, directly or indirectly. The …
adoption of smart devices are affecting virtually every industry, directly or indirectly. The …
ETC-IoT: Edge-node-assisted transmitting for the cloud-centric internet of things
The promising emergence of cloud systems can bring significant benefits to cloud-centric IoT
applications in terms of both their platform management and improvements to quality of …
applications in terms of both their platform management and improvements to quality of …
Empowering healthcare IoT systems with hierarchical edge-based deep learning
Remote health monitoring is a powerful tool to provide preventive care and early
intervention for populations-at-risk. Such monitoring systems are becoming available …
intervention for populations-at-risk. Such monitoring systems are becoming available …
AAIoT: Accelerating artificial intelligence in IoT systems
Existing deep learning systems in the Internet of Things (IoT) environments lack the ability of
assigning compute tasks reasonably which leads to resources wasting. In this letter, we …
assigning compute tasks reasonably which leads to resources wasting. In this letter, we …
Machine learning and data analytics for the IoT
Abstract The Internet of Things (IoT) applications have grown in exorbitant numbers,
generating a large amount of data required for intelligent data processing. However, the …
generating a large amount of data required for intelligent data processing. However, the …