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Fusion: Practice and Applications

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Fusion: Practice and Applications

Volume 8 , Issue 2 , PP: 25-35, 2022 | Cite this article as | XML | Html | PDF | Full Length Article

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

Joseph B. Awotunde 1 * , Hrudaya K. Tripathy 2 , Anjan Bandyopadhyay 3

  • 1 Faculty of Information and Communication Sciences, University of Ilorin, Nigeria - (awotunde.jb@unilorin.edu.ng)
  • 2 School of Computer Engineering, Kalinga Institute of Industrial Technology, India - (hktripathyfcs@kiit.ac.in)
  • 3 Kalinga Institute of Industrial Technology (KIIIT) Bhubaneswar, Odisha, India - (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

    References

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    Cite This Article As :
    B., Joseph. , K., Hrudaya. , Bandyopadhyay, Anjan. Hybrid Particle Swarm Optimization with Firefly based Resource Provisioning Technique for Data Fusion Fog-Cloud Computing Platforms. Fusion: Practice and Applications, vol. , no. , 2022, pp. 25-35. DOI: https://doi.org/10.54216/FPA.080203
    B., J. K., H. Bandyopadhyay, A. (2022). Hybrid Particle Swarm Optimization with Firefly based Resource Provisioning Technique for Data Fusion Fog-Cloud Computing Platforms. Fusion: Practice and Applications, (), 25-35. DOI: https://doi.org/10.54216/FPA.080203
    B., Joseph. K., Hrudaya. Bandyopadhyay, Anjan. Hybrid Particle Swarm Optimization with Firefly based Resource Provisioning Technique for Data Fusion Fog-Cloud Computing Platforms. Fusion: Practice and Applications , no. (2022): 25-35. DOI: https://doi.org/10.54216/FPA.080203
    B., J. , K., H. , Bandyopadhyay, A. (2022) . Hybrid Particle Swarm Optimization with Firefly based Resource Provisioning Technique for Data Fusion Fog-Cloud Computing Platforms. Fusion: Practice and Applications , () , 25-35 . DOI: https://doi.org/10.54216/FPA.080203
    B. J. , K. H. , Bandyopadhyay A. [2022]. Hybrid Particle Swarm Optimization with Firefly based Resource Provisioning Technique for Data Fusion Fog-Cloud Computing Platforms. Fusion: Practice and Applications. (): 25-35. DOI: https://doi.org/10.54216/FPA.080203
    B., J. K., H. Bandyopadhyay, A. "Hybrid Particle Swarm Optimization with Firefly based Resource Provisioning Technique for Data Fusion Fog-Cloud Computing Platforms," Fusion: Practice and Applications, vol. , no. , pp. 25-35, 2022. DOI: https://doi.org/10.54216/FPA.080203

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