A QoS-Aware IoT Service Placement Mechanism in Fog Computing Based on Open-Source Development Model

Zhao, Defu; Zou, Qunying; Zadeh, Milad Boshkani

doi:10.1007/s10723-022-09604-3

Cited by 34 publications

(2 citation statements)

References 40 publications

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“…Furthermore, the authors developed an automatic placement framework that depicts the communication between the fog components and the edge devices in the three-tier architecture of the fog ecosystem. In [26], the authors proposed an Open Source Development Model (OSDM) for the placement of application services on fog nodes. The proposed approach considers energy consumption, response time, execution cost, delay, and fog resource utilisation to model the objective function of the optimisation problem.…”

Section: Related Workmentioning

confidence: 99%

A Hybrid Meta-Heuristic Algorithm for Application Module Placement in Iot-Fog-Cloud Computing Environment

Murali¹,

Yakubu²

2023

Preprint

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Section: Related Workmentioning

confidence: 99%

A Hybrid Meta-Heuristic Algorithm for Application Module Placement in Iot-Fog-Cloud Computing Environment

Murali¹,

Yakubu²

2023

Preprint

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“…We considered studies regarding the Internet of Things, intelligent environments, optimization models, clustering methods, and signal propagation, among others, as relevant to the development of this work [23][24][25][26][27][28]. Some studies have analyzed area coverage using equipment for different communication technologies; however, our research considered an intelligent environment using IoT gateways for heterogeneous networks.…”

Section: Related Workmentioning

confidence: 99%

Planning and Optimization of Software-Defined and Virtualized IoT Gateway Deployment for Smart Campuses

Ferreira

Oliveira

Santos

et al. 2022

Sensors

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The Internet of Things (IoT) is based on objects or “things” that have the ability to communicate and transfer data. Due to the large number of connected objects and devices, there has been a rapid growth in the amount of data that are transferred over the Internet. To support this increase, the heterogeneity of devices and their geographical distributions, there is a need for IoT gateways that can cope with this demand. The SOFTWAY4IoT project, which was funded by the National Education and Research Network (RNP), has developed a software-defined and virtualized IoT gateway that supports multiple wireless communication technologies and fog/cloud environment integration. In this work, we propose a planning method that uses optimization models for the deployment of IoT gateways in smart campuses. The presented models aimed to quantify the minimum number of IoT gateways that is necessary to cover the desired area and their positions and to distribute IoT devices to the respective gateways. For this purpose, the communication technology range and the data link consumption were defined as the parameters for the optimization models. Three models are presented, which use LoRa, Wi-Fi, and BLE communication technologies. The gateway deployment problem was solved in two steps: first, the gateways were quantified using a linear programming model; second, the gateway positions and the distribution of IoT devices were calculated using the classical K-means clustering algorithm and the metaheuristic particle swarm optimization. Case studies and experiments were conducted at the Samambaia Campus of the Federal University of Goiás as an example. Finally, an analysis of the three models was performed, using metrics such as the silhouette coefficient. Non-parametric hypothesis tests were also applied to the performed experiments to verify that the proposed models did not produce results using the same population.

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Service Placement Problem for IoT Applications on Fog Computing

Ben Rjeb,

Zorgati,

Ben Djemaa

et al. 2024

Intelligent Systems Design and Applications

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A QoS-Aware IoT Service Placement Mechanism in Fog Computing Based on Open-Source Development Model

Cited by 34 publications

References 40 publications

A Hybrid Meta-Heuristic Algorithm for Application Module Placement in Iot-Fog-Cloud Computing Environment

A Hybrid Meta-Heuristic Algorithm for Application Module Placement in Iot-Fog-Cloud Computing Environment

Planning and Optimization of Software-Defined and Virtualized IoT Gateway Deployment for Smart Campuses

Service Placement Problem for IoT Applications on Fog Computing

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