Offloading using traditional optimization and machine learning in federated cloud–edge–fog systems: A survey
The huge amount of data generated by the Internet of Things (IoT) devices needs the
computational power and storage capacity provided by cloud, edge, and fog computing …
computational power and storage capacity provided by cloud, edge, and fog computing …
A systematic survey of industrial Internet of Things security: Requirements and fog computing opportunities
K Tange, M De Donno, X Fafoutis… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
A key application of the Internet of Things (IoT) paradigm lies within industrial contexts.
Indeed, the emerging Industrial Internet of Things (IIoT), commonly referred to as Industry …
Indeed, the emerging Industrial Internet of Things (IIoT), commonly referred to as Industry …
Challenges and opportunities in securing the industrial internet of things
Given the tremendous success of the Internet of Things in interconnecting consumer
devices, we observe a natural trend to likewise interconnect devices in industrial settings …
devices, we observe a natural trend to likewise interconnect devices in industrial settings …
A survey on security and privacy of 5G technologies: Potential solutions, recent advancements, and future directions
Security has become the primary concern in many telecommunications industries today as
risks can have high consequences. Especially, as the core and enable technologies will be …
risks can have high consequences. Especially, as the core and enable technologies will be …
A survey on industrial Internet of Things: A cyber-physical systems perspective
The vision of Industry 4.0, otherwise known as the fourth industrial revolution, is the
integration of massively deployed smart computing and network technologies in industrial …
integration of massively deployed smart computing and network technologies in industrial …
Advanced optimization technique for scheduling IoT tasks in cloud-fog computing environments
Cloud-fog computing frameworks are emerging paradigms developed to add benefits to the
current Internet of Things (IoT) architectures. In such frameworks, task scheduling plays a …
current Internet of Things (IoT) architectures. In such frameworks, task scheduling plays a …
Deep learning models for cloud, edge, fog, and IoT computing paradigms: Survey, recent advances, and future directions
In recent times, the machine learning (ML) community has recognized the deep learning
(DL) computing model as the Gold Standard. DL has gradually become the most widely …
(DL) computing model as the Gold Standard. DL has gradually become the most widely …
Deep learning for smart industry: Efficient manufacture inspection system with fog computing
With the rapid development of Internet of things devices and network infrastructure, there
have been a lot of sensors adopted in the industrial productions, resulting in a large size of …
have been a lot of sensors adopted in the industrial productions, resulting in a large size of …
Vehicular fog computing: Enabling real-time traffic management for smart cities
Fog computing extends the facility of cloud computing from the center to edge networks.
Although fog computing has the advantages of location awareness and low latency, the …
Although fog computing has the advantages of location awareness and low latency, the …
The internet of things, fog and cloud continuum: Integration and challenges
Abstract The Internet of Things needs for computing power and storage are expected to
remain on the rise in the next decade. Consequently, the amount of data generated by …
remain on the rise in the next decade. Consequently, the amount of data generated by …