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A review on fog computing: Issues, characteristics, challenges, and potential applications
Telematics and Informatics Reports, 2023 Fog computing is a paradigm that utilizes the advantages of both the cloud and the edge devices providing quality services, reducing latency, providing mobility support, multi-tenancy, and many other functions that support modern computing systems. It is
Resul Das, Muhammad Muhammad Inuwa
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Fog Computing for Control of Cyber-Physical Systems in Industry Using BCI [PDF]
Sensors, 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
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Future of Telepresence Services in the Evolving Fog Computing Environment: A Survey on Research and Use Cases [PDF]
SensorsWith 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
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Design of load-aware resource allocation for heterogeneous fog computing systems [PDF]
PeerJ Computer ScienceThe 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
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Joint Task Offloading and Resource Allocation in Aerial-Terrestrial UAV Networks With Edge and Fog Computing for Post-Disaster Rescue [PDF]
IEEE 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
Deep Reinforcement Learning-based scheduling for optimizing system load and response time in edge and fog computing environments [PDF]
Future generations computer systems, 2023 Edge/fog computing, as a distributed computing paradigm, satisfies the low-latency requirements of ever-increasing number of IoT applications and has become the mainstream computing paradigm behind IoT applications.
Zhiyu Wang +3 more
semanticscholar +1 more source
INTERANTIONAL 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
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A decade of research in fog computing: Relevance, challenges, and future directions [PDF]
Software, 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
Informatik 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 ...
Pagel, Peter, Schulte, Stefan
+5 more sources
IEEE 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
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