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Resource provisioning in edge/fog computing: A comprehensive and systematic review
A Shakarami, H Shakarami, M Ghobaei-Arani… - Journal of Systems …, 2022 - Elsevier
Close computing paradigms such as fog and edge have become promising technologies for
mobile applications running on pervasive mobile equipment utilized by a wide range of …
mobile applications running on pervasive mobile equipment utilized by a wide range of …
A systematic review on resource provisioning in fog computing
Resource provisioning is allocating resources to clients over the Internet and plays a
prominent role in cloud computing infrastructure‐as‐a‐service (IaaS). The main issues of …
prominent role in cloud computing infrastructure‐as‐a‐service (IaaS). The main issues of …
Artificial intelligence enabled intrusion detection systems for cognitive cyber-physical systems in industry 4.0 environment
Abstract In recent days, Cognitive Cyber-Physical System (CCPS) has gained significant
interest among interdisciplinary researchers which integrates machine learning (ML) and …
interest among interdisciplinary researchers which integrates machine learning (ML) and …
Internet of things and deep learning enabled elderly fall detection model for smart homecare
Recently, the techniques of Internet of Things (IoT) and mobile communications have been
developed to gather human and environment information data for a variety of intelligent …
developed to gather human and environment information data for a variety of intelligent …
An intelligent cognitive computing based intrusion detection for industrial cyber-physical systems
Abstract Advanced developments of Industrial Cyber-Physical Systems (CPSs), comprising
Internet of Things (IoT) finds useful in several application areas such as transportation, smart …
Internet of Things (IoT) finds useful in several application areas such as transportation, smart …
A deep learning model based on multi-objective particle swarm optimization for scene classification in unmanned aerial vehicles
Recently, the increase in inexpensive and compact unmanned aerial vehicles (UAVs) and
light-weight imaging sensors has led to an interest in using them in various remote sensing …
light-weight imaging sensors has led to an interest in using them in various remote sensing …
A cost-efficient auto-scaling mechanism for IoT applications in fog computing environment: a deep learning-based approach
The fog computing model has emerged as a viable infrastructure for serving IoT applications
in recent years. In the fog ecosystem, it is essential to manage resources for different …
in recent years. In the fog ecosystem, it is essential to manage resources for different …
Multi-objective task scheduling method for cyber–physical–social systems in fog computing
Cyber–physical–social systems refer to new systems that involve a large number of Internet
of Things (IoT) devices connected through an interconnected network. These systems gather …
of Things (IoT) devices connected through an interconnected network. These systems gather …
[PDF][PDF] Optimized tuned deep learning model for chronic kidney disease classification
In recent times, Internet of Things (IoT) and Cloud Computing (CC) paradigms are commonly
employed in different healthcare applications. IoT gadgets generate huge volumes of patient …
employed in different healthcare applications. IoT gadgets generate huge volumes of patient …
Resource provisioning using meta-heuristic methods for IoT microservices with mobility management
The fog and edge computing paradigm provide a distributed architecture of nodes with
processing capability for smart healthcare systems driven by Internet of Thing (IoT) …
processing capability for smart healthcare systems driven by Internet of Thing (IoT) …