Optimal placement of applications in the fog environment: A systematic literature review

MM Islam, F Ramezani, HY Lu, M Naderpour - Journal of Parallel and …, 2023 - Elsevier
The fog-computing paradigm complements cloud computing to support the deployment and
execution of latency-sensitive applications at the network edge by offering enhanced …

A QoS-aware IoT service placement mechanism in fog computing based on open-source development model

D Zhao, Q Zou, M Boshkani Zadeh - Journal of Grid Computing, 2022 - Springer
With rapid developments of the Internet of Things (IoT) applications in recent years, their use
to facilitate day-to-day activities in various domains for enhancing the quality of human life …

Task offloading in Internet of Things based on the improved multi-objective aquila optimizer

M Nematollahi, A Ghaffari, A Mirzaei - Signal, Image and Video Processing, 2024 - Springer
Abstract The Internet of Things (IoT) is a network of tens of billions of physical devices that
are all connected to each other. These devices often have sensors or actuators, small …

[HTML][HTML] Towards distributed and autonomous IoT service placement in fog computing using asynchronous advantage actor-critic algorithm

M Zare, YE Sola, H Hasanpour - Journal of King Saud University-Computer …, 2023 - Elsevier
The number of Internet of Things (IoT)-based applications is constantly increasing, and
transferring all their associated data to a remote centralized cloud requires more latency …

Energy‐aware resource management in fog computing for IoT applications: A review, taxonomy, and future directions

SM Hashemi, A Sahafi, AM Rahmani… - Software: Practice and …, 2024 - Wiley Online Library
The energy demand for Internet of Things (IoT) applications is increasing with a rise in IoT
devices. Rising costs and energy demands can cause serious problems. Fog computing …

Dynamic IoT service placement based on shared parallel architecture in fog-cloud computing

M Qin, M Li, RO Yahya - Internet of Things, 2023 - Elsevier
Fog-cloud computing is a promising computing paradigm for processing and storing
massive data produced by Internet of Things (IoT) devices. Considering that the fog …

[HTML][HTML] An efficient and autonomous scheme for solving IoT service placement problem using the improved Archimedes optimization algorithm

Z Zhang, H Sun, H Abutuqayqah - … of King Saud University-Computer and …, 2023 - Elsevier
The ever-increasing growth of the number of Internet of Things (IoT) devices connected to
the network has led to the emergence of cloud computing shortcomings such as delay …

A learning automata based approach for module placement in fog computing environment

Y Abofathi, B Anari, M Masdari - Expert Systems with Applications, 2024 - Elsevier
Today, fog computing is an emerging technology to support resource-constrained Internet of
Things (IoT) applications. The scalability, geographic distribution, and heterogeneity of edge …

Deadline-aware multi-objective IoT services placement optimization in fog environment using parallel FFD-genetic algorithm

F Saadian, H Motameni… - Pervasive and Mobile …, 2023 - Elsevier
Nowadays, Internet of things has become as an inevitable aspect of humans' IT-based life. A
huge number of geo-distributed IoT enabled devices such as smart phones, smart cameras …

LPB‐SPP: Solving the internet of things service placement problem using the learner performance‐based behavior algorithm

C Hu, H Zhou, S Lv… - Transactions on …, 2023 - Wiley Online Library
Nowadays, fog computing has joined cloud computing as an emerging computing paradigm
to provide resources at the network edge. Fog servers process data associated with Internet …