Results 11 to 20 of about 7,926 (246)

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   +3 more sources

Fog Computing for Control of Cyber-Physical Systems in Industry Using BCI [PDF]

open access: yesSensors, 2023
Brain-computer interfaces use signals from the brain, such as EEG, to determine brain states, which in turn can be used to issue commands, for example, to control industrial machinery.
Paula Ivone Rodríguez-Azar   +4 more
doaj   +2 more sources

Future of Telepresence Services in the Evolving Fog Computing Environment: A Survey on Research and Use Cases [PDF]

open access: yesSensors
With the continuing development of technology, telepresence services have emerged as an essential part of modern communication systems. Concurrently, the rapid growth of fog computing presents new opportunities and challenges for integrating telepresence
Dang Van Thang   +5 more
doaj   +2 more sources

Fog Computing and the Internet of Things: A Review

open access: yesBig Data and Cognitive Computing, 2018
With the rapid growth of Internet of Things (IoT) applications, the classic centralized cloud computing paradigm faces several challenges such as high latency, low capacity and network failure.
Hany F. Atlam   +2 more
doaj   +3 more sources

Applications of Fog Computing in Healthcare. [PDF]

open access: yesCureus
Fog computing is a decentralized computing infrastructure that processes data at or near its source, reducing latency and bandwidth usage. This technology is gaining traction in healthcare due to its potential to enhance real-time data processing and decision-making capabilities in critical medical scenarios.
Jeyaraman N   +7 more
europepmc   +3 more sources

Design of load-aware resource allocation for heterogeneous fog computing systems [PDF]

open access: yesPeerJ Computer Science
The execution of delay-aware applications can be effectively handled by various computing paradigms, including the fog computing, edge computing, and cloudlets. Cloud computing offers services in a centralized way through a cloud server. On the contrary,
Syed Rizwan Hassan   +5 more
doaj   +3 more sources

Fog Computing [PDF]

open access: yesInformatik Spektrum, 2019
Everything that is not a computer, in the traditional sense, is being connected to the Internet. These devices are also referred to as the Internet of Things and they are pressuring the current network infrastructure. Not all devices are intensive data producers and part of them can be used beyond their original intent by sharing their computational ...
Peter Pagel, Stefan Schulte 0002
  +5 more sources

DRESIA: Deep Reinforcement Learning-Enabled Gray Box Approach for Large-Scale Dynamic Cyber-Twin System Simulation

open access: yesIEEE Open Journal of the Computer Society, 2021
The massive data generated by large-scale dynamic systems makes its optimization facing a tough challenge. Traditional White Box-based methods directly model the internal operating mechanism of the system, so massive amounts of measured data need to be ...
Zhouyang Lin   +7 more
doaj   +1 more source

Fog Computing

open access: yesINTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, 2022
Managing the knowledge generated by the Internet of Things (IoT) sensors and actuators is one of the most important. Challenges in introducing IoT systems. Traditional cloud-based IoT systems We challenged the large scale, non- uniformity, and high latency observed in some cloud ecosystems.
Ravi Tomar   +4 more
openaire   +2 more sources

Evidence in the fog – Triage in fog computing systems

open access: yesForensic Science International: Digital Investigation, 2023
Fog computing promises improved service scalability and lower latency for IoT systems. The concept closes the gap between full computing capabilities at the network's edge and cloud systems' centrally located processing infrastructure. The drawback of the former is the high power requirements at the edge nodes, and the latter is the high latency for ...
Jens-Petter Sandvik   +3 more
openaire   +2 more sources

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