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Applied Artificial Intelligence

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Volume 36, 2022 - Issue 1

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Research Article

An Evolutionary Multi-objective Optimization Technique to Deploy the IoT Services in Fog-enabled Networks: An Autonomous Approach

Mahboubeh SalimianDepartment of Computer Engineering, Qom Branch, Islamic Azad University, Qom, Iran

Mostafa Ghobaei-AraniDepartment of Computer Engineering, Qom Branch, Islamic Azad University, Qom, IranCorrespondence[email protected]

https://orcid.org/0000-0003-2639-0900

Ali ShahidinejadDepartment of Computer Engineering, Qom Branch, Islamic Azad University, Qom, Iran

https://orcid.org/0000-0003-4856-9119

Article: 2008149 | Received 09 Sep 2021, Accepted 15 Nov 2021, Published online: 05 Jan 2022

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https://doi.org/10.1080/08839514.2021.2008149
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Maoyuan Qin, Minghai Li & Rebaz Othman Yahya. (2023) Dynamic IoT service placement based on shared parallel architecture in fog-cloud computing. Internet of Things 23, pages 100856.
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Chunfen Hu, Haifei Zhou, Shiyun Lv & Shelesh Krishna Saraswat. (2023) LPB‐SPP : Solving the internet of things service placement problem using the learner performance‐based behavior algorithm . Transactions on Emerging Telecommunications Technologies 34:8.
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Mayssa Trabelsi, Nadjib Mohamed Mehdi Bendaoud & Samir Ben Ahmed. (2023) Multi-objective Optimization for Dynamic Service Placement Strategy for Real-Time Applications in Fog Infrastructure. Multi-objective Optimization for Dynamic Service Placement Strategy for Real-Time Applications in Fog Infrastructure.

Mansoureh Zare, Yasser Elmi Sola & Hesam Hasanpour. (2023) Imperialist competitive based approach for efficient deployment of IoT services in fog computing. Cluster Computing.
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Zhijun Zhang, Hui Sun & Hajar Abutuqayqah. (2023) An efficient and autonomous scheme for solving IoT service placement problem using the improved Archimedes optimization algorithm. Journal of King Saud University - Computer and Information Sciences 35:3, pages 157-175.
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Shally Gupta & Nanhay Singh. (2023) Heuristics and Meta-Heuristics based Algorithms for Resource Optimization in Fog Computing Environment: A Comparative Study. Heuristics and Meta-Heuristics based Algorithms for Resource Optimization in Fog Computing Environment: A Comparative Study.

Mansoureh Zare, Yasser Elmi Sola & Hesam Hasanpour. (2023) Towards distributed and autonomous IoT service placement in fog computing using asynchronous advantage actor-critic algorithm. Journal of King Saud University - Computer and Information Sciences 35:1, pages 368-381.
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Xiaobin Hong, Jiali Zhang, Yerong Shao & Yeganeh Alizadeh. (2022) An Autonomous Evolutionary Approach to Planning the IoT Services Placement in the Cloud-Fog-IoT Ecosystem. Journal of Grid Computing 20:3.
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Defu Zhao, Qunying Zou & Milad Boshkani Zadeh. (2022) A QoS-Aware IoT Service Placement Mechanism in Fog Computing Based on Open-Source Development Model. Journal of Grid Computing 20:2.
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An Evolutionary Multi-objective Optimization Technique to Deploy the IoT Services in Fog-enabled Networks: An Autonomous Approach

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An Evolutionary Multi-objective Optimization Technique to Deploy the IoT Services in Fog-enabled Networks: An Autonomous Approach

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