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 …

A systematic review on resource provisioning in fog computing

K Kaur, A Singh, A Sharma - Transactions on Emerging …, 2023 - Wiley Online Library
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 …

Artificial intelligence enabled intrusion detection systems for cognitive cyber-physical systems in industry 4.0 environment

MA Alohali, FN Al-Wesabi, AM Hilal, S Goel… - Cognitive …, 2022 - Springer
Abstract In recent days, Cognitive Cyber-Physical System (CCPS) has gained significant
interest among interdisciplinary researchers which integrates machine learning (ML) and …

Internet of things and deep learning enabled elderly fall detection model for smart homecare

T Vaiyapuri, EL Lydia, MY Sikkandar, VG Díaz… - IEEE …, 2021 - ieeexplore.ieee.org
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 …

An intelligent cognitive computing based intrusion detection for industrial cyber-physical systems

MM Althobaiti, KPM Kumar, D Gupta, S Kumar… - Measurement, 2021 - Elsevier
Abstract Advanced developments of Industrial Cyber-Physical Systems (CPSs), comprising
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

A Rajagopal, GP Joshi, A Ramachandran… - IEEE …, 2020 - ieeexplore.ieee.org
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 …

A cost-efficient auto-scaling mechanism for IoT applications in fog computing environment: a deep learning-based approach

M Etemadi, M Ghobaei-Arani, A Shahidinejad - Cluster Computing, 2021 - Springer
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 …

Multi-objective task scheduling method for cyber–physical–social systems in fog computing

M Abdel-Basset, R Mohamed, KM Sallam… - Knowledge-Based …, 2023 - Elsevier
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 …

[PDF][PDF] Optimized tuned deep learning model for chronic kidney disease classification

RH Aswathy, P Suresh, MY Sikkandar… - Comput. Mater …, 2022 - academia.edu
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 …

Resource provisioning using meta-heuristic methods for IoT microservices with mobility management

SM Rajagopal, M Supriya, R Buyya - IEEE Access, 2023 - ieeexplore.ieee.org
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) …