Results 11 to 20 of about 2,716,493 (376)

Joint Task Offloading and Resource Allocation in Aerial-Terrestrial UAV Networks With Edge and Fog Computing for Post-Disaster Rescue [PDF]

open access: yesIEEE Transactions on Mobile Computing, 2023
Unmanned aerial vehicles (UAVs) are playing an increasingly important role in assisting fast-response post-disaster rescue due to their fast deployment, flexible mobility, and low cost.
Geng Sun   +6 more
semanticscholar   +1 more source

A decade of research in fog computing: Relevance, challenges, and future directions [PDF]

open access: yesSoftware, Practice & Experience, 2023
Recent developments in the Internet of Things (IoT) and real‐time applications, have led to the unprecedented growth in the connected devices and their generated data.
S. Srirama
semanticscholar   +1 more source

Multi-Objective Grey Wolf Optimizer Algorithm for Task Scheduling in Cloud-Fog Computing

open access: yesIEEE Access, 2023
The revolution of IoT and its capabilities to serve various fields led to generating a large amount of data for processing. Tasks that require an instant response, especially with sensitive delay tasks send to the fog node due to the close distance, and ...
Faten A. Saif   +3 more
semanticscholar   +1 more source

iFogSim: A toolkit for modeling and simulation of resource management techniques in the Internet of Things, Edge and Fog computing environments [PDF]

open access: yesSoftware, Practice & Experience, 2016
Internet of Things (IoT) aims to bring every object (eg, smart cameras, wearable, environmental sensors, home appliances, and vehicles) online, hence generating massive volume of data that can overwhelm storage systems and data analytics applications ...
Harshit Gupta   +3 more
semanticscholar   +1 more source

An Overview of Concepts, Applications, Difficulties, Unresolved Issues in Fog Computing and Machine Learning

open access: yesInternational Transactions on Artificial Intelligence (ITALIC), 2023
Numerous fog computing apps and services are emerging as a result of the large volumes of data produced by systems based on fog computing. Additionally, the crucial field of machine learning (ML), which has made significant advancements in several ...
Oscar Jayanagara, Dewi Sri Surya Wuisan
semanticscholar   +1 more source

Addressing the Node Discovery Problem in Fog Computing [PDF]

open access: yes, 2020
In recent years, the Internet of Things (IoT) has gained a lot of attention due to connecting various sensor devices with the cloud, in order to enable smart applications such as: smart traffic management, smart houses, and smart grids, among others. Due
Desai, Nitin   +3 more
core   +2 more sources

A systematic review of the purposes of Blockchain and fog computing integration: classification and open issues

open access: yesJournal of Cloud Computing: Advances, Systems and Applications, 2022
The fog computing concept was proposed to help cloud computing for the data processing of Internet of Things (IoT) applications. However, fog computing faces several challenges such as security, privacy, and storage.
Yehia Ibrahim Alzoubi   +2 more
doaj   +1 more source

A Study of Moving from Cloud Computing to Fog Computing

open access: yesQubahan Academic Journal, 2021
The exponential growth of the Internet of Things (IoT) technology poses various challenges to the classic centralized cloud computing paradigm, including high latency, limited capacity, and network failure.
Hindreen Rashid Abdulqadir   +6 more
doaj   +1 more source

Orchestration in Fog Computing: A Comprehensive Survey

open access: yesACM Computing Surveys, 2022
Fog computing is a paradigm that brings computational resources and services to the network edge in the vicinity of user devices, lowering latency and connecting with cloud computing resources.
Breno G. S. Costa   +3 more
semanticscholar   +1 more source

Fog Computing: A Comprehensive Review of Architectures, Applications, and Security Challenges

open access: yesNTU Journal of Engineering and Technology, 2023
Fog computing has emerged as a promising paradigm for bringing capabilities of cloud computing closer to the edge computing. It tries to overcome the limits of traditional cloud designs by putting storage, computing, and resources of networking closer ...
Shatha A. Baker   +2 more
doaj   +1 more source

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