Results 31 to 40 of about 2,716,493 (376)

Resource Allocation and Task Scheduling in Fog Computing and Internet of Everything Environments: A Taxonomy, Review, and Future Directions

open access: yesACM Computing Surveys, 2022
The Internet of Everything paradigm is being rapidly adopted in developing applications for different domains like smart agriculture, smart city, big data streaming, and so on. These IoE applications are leveraging cloud computing resources for execution.
Bushra Jamil   +4 more
semanticscholar   +1 more source

Fog Vehicular Computing: Augmentation of Fog Computing Using Vehicular Cloud Computing [PDF]

open access: yesIEEE Vehicular Technology Magazine, 2017
Fog computing has emerged as a promising solution for accommodating the surge of mobile traffic and reducing latency, both known to be inherent problems of cloud computing. Fog services, including computation, storage, and networking, are hosted in the vicinity of end users (edge of the network), and, as a result, reliable access is provisioned to ...
Mehdi Sookhak   +7 more
openaire   +2 more sources

Task Scheduling Mechanisms for Fog Computing: A Systematic Survey

open access: yesIEEE Access, 2023
In the Internet of Things (IoT) ecosystem, some processing is done near data production sites at higher speeds without the need for high bandwidth by combining Fog Computing (FC) and cloud computing.
Mehdi Hosseinzadeh   +6 more
semanticscholar   +1 more source

Fog computing, applications , security and challenges, review [PDF]

open access: yes, 2018
The internet of things originates a world where on daily basis objects can join the internet and interchange information and in addition process, store, gather them from the nearby environment, and effectively mediate on it.
Chai, Chuah Wen, Rahman, Gohar
core   +2 more sources

REVIEW ON FOG COMPUTING – APPLICATIONS, SECURITY, AND SOLUTIONS [PDF]

open access: yesProceedings on Engineering Sciences
A distributed computing model known as fog computing lies near the user for efficient data processing and analysis. Fog computing extends cloud computing and expands on the characteristics providing more features for the consumer's benefit.
Varun Varma Sangaraju   +4 more
doaj   +1 more source

Computational Resource Allocation in Fog Computing: A Comprehensive Survey

open access: yesACM Computing Surveys, 2023
Fog computing is a paradigm that allows the provisioning of computational resources and services at the edge of the network, closer to the end devices and users, complementing cloud computing.
João Bachiega   +4 more
semanticscholar   +1 more source

AI Augmented Edge and Fog Computing: Trends and Challenges [PDF]

open access: yesJournal of Network and Computer Applications, 2022
In recent years, the landscape of computing paradigms has witnessed a gradual yet remarkable shift from monolithic computing to distributed and decentralized paradigms such as Internet of Things (IoT), Edge, Fog, Cloud, and Serverless.
Shreshth Tuli   +8 more
semanticscholar   +1 more source

ENORM: A Framework For Edge NOde Resource Management [PDF]

open access: yes, 2017
Current computing techniques using the cloud as a centralised server will become untenable as billions of devices get connected to the Internet. This raises the need for fog computing, which leverages computing at the edge of the network on nodes, such ...
Matthaiou, Michail   +3 more
core   +2 more sources

Fog Computing: Survey of Trends, Architectures, Requirements, and Research Directions

open access: yesIEEE Access, 2018
Emerging technologies such as the Internet of Things (IoT) require latency-aware computation for real-time application processing. In IoT environments, connected things generate a huge amount of data, which are generally referred to as big data.
Ranesh Kumar Naha   +6 more
doaj   +1 more source

Efficient Attribute-Based Encryption Outsourcing Scheme With User and Attribute Revocation for Fog-Enabled IoT

open access: yesIEEE Access, 2020
With the rapid growth of Internet of Things (IoT) applications, fog computing enables the IoT to provide efficient services by extending the cloud computing paradigm to the edge of the network.
Ling Li, Zheng Wang, Na Li
doaj   +1 more source

Home - About - Disclaimer - Privacy