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Offloading Mechanisms Based on Reinforcement Learning and Deep Learning Algorithms in the Fog Computing Environment

open access: yesIEEE Access, 2023
Fog computing has emerged as a computing paradigm for resource-restricted Internet of things (IoT) devices to support time-sensitive and computationally intensive applications. Offloading can be utilized to transfer resource-intensive tasks from resource-
Dezheen H. Abdulazeez, S. Askar
semanticscholar   +1 more source

Scheduling IoT Applications in Edge and Fog Computing Environments: A Taxonomy and Future Directions [PDF]

open access: yesACM Computing Surveys, 2022
Fog computing, as a distributed paradigm, offers cloud-like services at the edge of the network with low latency and high-access bandwidth to support a diverse range of IoT application scenarios. To fully utilize the potential of this computing paradigm,
Mohammad Goudarzi   +2 more
semanticscholar   +1 more source

A Comprehensive Survey on the Cooperation of Fog Computing Paradigm-Based IoT Applications: Layered Architecture, Real-Time Security Issues, and Solutions

open access: yesIEEE Access, 2023
The Internet of Things (IoT) can enable seamless communication between millions of billions of objects. As IoT applications continue to grow, they face several challenges, including high latency, limited processing and storage capacity, and network ...
Muhammad Burhan   +6 more
semanticscholar   +1 more source

Placement of Microservices-based IoT Applications in Fog Computing: A Taxonomy and Future Directions [PDF]

open access: yesACM Computing Surveys, 2022
The Fog computing paradigm utilises distributed, heterogeneous and resource-constrained devices at the edge of the network for efficient deployment of latency-critical and bandwidth-hungry IoT application services.
Samodha Pallewatta   +2 more
semanticscholar   +1 more source

Scheduling Algorithms in Fog Computing: A Survey

open access: yesInternational Journal of Networked and Distributed Computing (IJNDC), 2021
Over the last recent years, applications related to the internet of things have become the most important techniques in the world that facilitate interactions among humans and things to enhance the quality of life. So, the number of devices used in these
Khaled Matrouk, Kholoud Alatoun
doaj   +1 more source

A Survey of Security in Cloud, Edge, and Fog Computing

open access: yesItalian National Conference on Sensors, 2022
The field of information security and privacy is currently attracting a lot of research interest. Simultaneously, different computing paradigms from Cloud computing to Edge computing are already forming a unique ecosystem with different architectures ...
A. Ometov   +3 more
semanticscholar   +1 more source

Detection of Fog Network Data Telemetry Using Data Plane Programming [PDF]

open access: yes, 2020
Fog computing has been introduced to deliver Cloud-based services to the Internet of Things (IoT) devices. It locates geographically closer to IoT devices than Cloud networks and aims at offering latency-critical computation and storage to end-user ...
  +3 more
core   +1 more source

A Review on Fog Computing: Architecture, Fog with IoT, Algorithms and Research Challenges

open access: yesICT Express, 2021
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, latency, and network breakdown.
Sabireen H., Neelanarayanan V.
doaj   +1 more source

ANAA-Fog: A Novel Anonymous Authentication Scheme for 5G-Enabled Vehicular Fog Computing

open access: yesMathematics, 2023
Vehicular fog computing enabled by the Fifth Generation (5G) has been on the rise recently, providing real-time services among automobiles in the field of smart transportation by improving road traffic safety and enhancing driver comfort.
B. Mohammed   +5 more
semanticscholar   +1 more source

Reliable Resource Allocation and Management for IoT Transportation Using Fog Computing

open access: yesElectronics, 2023
Resource allocation in smart settings, more specifically in Internet of Things (IoT) transportation, is challenging due to the complexity and dynamic nature of fog computing.
Haseeb Ullah Atiq   +5 more
semanticscholar   +1 more source

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