Gwo-sa: Gray wolf optimization algorithm for service activation management in fog computing

SM Hashemi, A Sahafi, AM Rahmani, M Bohlouli - IEEE Access, 2022 - ieeexplore.ieee.org
Although fog computing is a new research topic, there are robust and integrated solutions for
service activation management and how to distribute IoT services over available fog …

An efficient resource allocation scheme with optimal node placement in IoT-fog-cloud architecture

G Manogaran, BS Rawal - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Internet of Everything (IoE) encompasses smart devices, users, applications, and services
through the internet with digital features. Fog Computing is a recent emergent that bridges …

Solving the multi-objective problem of IoT service placement in fog computing using cuckoo search algorithm

C Liu, J Wang, L Zhou, A Rezaeipanah - Neural Processing Letters, 2022 - Springer
Abstract The Internet of Things (IoT) has led to the proliferation of networked computing
devices in the public, commercial, and private sectors. These devices often demand real …

Efficient task offloading for IoT-based applications in fog computing using ant colony optimization

MK Hussein, MH Mousa - IEEE Access, 2020 - ieeexplore.ieee.org
The current thinking concerning computations required by Internet of Things (IoT)
applications is shifting toward fog computing instead of cloud computing, thereby achieving …

Horizontal offloading mechanism for IoT application in fog computing using microservices case study: Traffic management system

MAAA Mostafa, AM Khater - 2019 IEEE Jordan International …, 2019 - ieeexplore.ieee.org
Fog computing is a new computational paradigm proposed by Cisco that subdues the
shortcomings of cloud computing in Internet of Things (IoT) by transferring some of the core …

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 …

Delay-Aware and Energy-Efficient Task Scheduling Using Strength Pareto Evolutionary Algorithm II in Fog-Cloud Computing Paradigm

A Daghayeghi, M Nickray - Wireless Personal Communications, 2024 - Springer
The exponential growth of technology and advent of the Internet of Things (IoT) paradigm
have caused large volumes of data to be continuously generated from the intelligent …

TRAM: Technique for resource allocation and management in fog computing environment

H Wadhwa, R Aron - The Journal of Supercomputing, 2022 - Springer
The traditional cloud computing technology provides services to a plethora of applications
by providing resources. These services support numerous industries for computational …

Machine learning for fog computing: review, opportunities and a fog application classifier and scheduler

M Aqib, D Kumar, S Tripathi - Wireless Personal Communications, 2023 - Springer
In recent, there has been a huge increase in the number of context-aware and latency-
sensitive IoT applications. Executing these applications on traditional cloud servers is …

FPFTS: A joint fuzzy particle swarm optimization mobility‐aware approach to fog task scheduling algorithm for Internet of Things devices

S Javanmardi, M Shojafar, V Persico… - Software: practice and …, 2021 - Wiley Online Library
Summary In the Internet of Things (IoT) scenario, the integration with cloud‐based solutions
is of the utmost importance to address the shortcomings resulting from resource‐constrained …