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Fusion: Practice and Applications
Volume 8 , Issue 2, PP: 25-35 , 2022 | Cite this article as | XML | Html |PDF

Title

Hybrid Particle Swarm Optimization with Firefly based Resource Provisioning Technique for Data Fusion Fog-Cloud Computing Platforms

Authors Names :   Joseph B. Awotunde   1 *     Hrudaya K. Tripathy   2     Anjan Bandyopadhyay   3  

1  Affiliation :  Faculty of Information and Communication Sciences, University of Ilorin, Nigeria

    Email :  awotunde.jb@unilorin.edu.ng


2  Affiliation :  School of Computer Engineering, Kalinga Institute of Industrial Technology, India

    Email :  hktripathyfcs@kiit.ac.in


3  Affiliation :  Kalinga Institute of Industrial Technology (KIIIT) Bhubaneswar, Odisha, India

    Email :  anjan.bandyopadhyayfcs@kiit.ac.in



Doi   :   https://doi.org/10.54216/FPA.080203

Received: May 11, 2022 Accepted: September 17, 2022

Abstract :

The recent wide acceptance of cloud and virtualization technologies has made a number of Internet of Things (IoT) applications practical. Although these technologies are typically useful, they may introduce a high transmission latency in IoT environments, e.g., data fusion in smart cities. To address this issue, fog computing, a distributed decentralized computing layer between IoT hardware and the cloud layer, can be used. To facilitate the use of fog computing in IoT data fusion environments, this paper proposes a new Hybrid Particle Swarm Optimization with Firefly based Resource Provisioning Technique (HPSOFF-RPT) model for fog-cloud computing platforms. The HPSOFF-RPT model is designed to optimize resource allocation and distribution in IoT environments. The model uses the  PSO and FF algorithms to provision resources in the fog-cloud environment. To evaluate performance, a wide-ranging simulation analysis is performed. The simulation results show that the proposed model improves performance compared to the existing optimization algorithms.

Keywords :

Resource provisioning; Fog computing; Cloud computing; Hybrid metaheuristics; Data Fusion

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Cite this Article as :
Joseph B. Awotunde , Hrudaya K. Tripathy , Anjan Bandyopadhyay, Hybrid Particle Swarm Optimization with Firefly based Resource Provisioning Technique for Data Fusion Fog-Cloud Computing Platforms, Fusion: Practice and Applications, Vol. 8 , No. 2 , (2022) : 25-35 (Doi   :  https://doi.org/10.54216/FPA.080203)