A hybrid and light weight metaheuristic approach with clustering for multi-objective resource scheduling and application placement in fog environment

H Sabireen, N Venkataraman - Expert Systems with Applications, 2023 - Elsevier
Fog computing is receiving considerable attention in the research community to deliver
computing resources for Internet of Things (IoT) devices. With rapid advancements in IoT, it …

An optimal task scheduling method in IoT-Fog-Cloud network using multi-objective moth-flame algorithm

T Salehnia, A Seyfollahi, S Raziani, A Noori… - Multimedia Tools and …, 2024 - Springer
Nowadays, cloud and fog computing have been leveraged to enhance Internet of Things
(IoT) performance. The outstanding potential of cloud platforms accelerates the processing …

[HTML][HTML] Method for dynamic service orchestration in fog computing

N Morkevicius, A Venčkauskas, N Šatkauskas… - Electronics, 2021 - mdpi.com
Fog computing is meant to deal with the problems which cloud computing cannot solve
alone. As the fog is closer to a user, it can improve some very important QoS characteristics …

[HTML][HTML] An efficient population-based multi-objective task scheduling approach in fog computing systems

Z Movahedi, B Defude, AM Hosseininia - Journal of Cloud Computing, 2021 - Springer
With the rapid development of Internet of Things (IoT) technologies, fog computing has
emerged as an extension to the cloud computing that relies on fog nodes with distributed …

An evolutionary multi-objective optimization technique to deploy the IoT services in fog-enabled networks: an autonomous approach

M Salimian, M Ghobaei-Arani… - Applied Artificial …, 2022 - Taylor & Francis
ABSTRACT The Internet of Things (IoT) generates countless amounts of data, much of which
is processed in cloud data centers. When data is transferred to the cloud over longer …

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 …

[HTML][HTML] A hybrid meta-heuristic algorithm for multi-objective IoT service placement in fog computing environments

HK Apat, B Sahoo, V Goswami, RK Barik - Decision Analytics Journal, 2024 - Elsevier
The fog computing paradigm is promising for deploying various delay-sensitive Internet of
Things (IoT) applications. The resource-constrained fog devices restrict the number of …

Multi-objective optimization approach for task scheduling in fog computing

M Mtshali, H Kobo, S Dlamini… - … on Advances in Big …, 2019 - ieeexplore.ieee.org
The Fog computing paradigm allow applications to be processed at the edge of a network.
This paradigm is designed to mitigate high latency and the burden of task requests sent to …

Adopting elitism-based Genetic Algorithm for minimizing multi-objective problems of IoT service placement in fog computing environment

BV Natesha, RMR Guddeti - Journal of Network and Computer Applications, 2021 - Elsevier
Fog computing is an emerging computation technology for handling and processing the data
from IoT devices. The devices such as the router, smart gateways, or micro-data centers are …

Hybrid heuristic algorithm for cost-efficient QoS aware task scheduling in fog–cloud environment

SM Hussain, GR Begh - Journal of Computational Science, 2022 - Elsevier
Fog cloud computing promotes the combination of fog and cloud nodes to satisfy the
requests of data accessing from IoT (Internet of Things) devices. To reduce the data delay …