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Improvement of QoS in an IoT Ecosystem by Integrating Fog Computing and SDN

Improvement of QoS in an IoT Ecosystem by Integrating Fog Computing and SDN

Ishtiaq Ahammad, Md. Ashikur Rahman Khan, Zayed Us Salehin, Main Uddin, Sultana Jahan Soheli
Copyright: © 2021 |Volume: 11 |Issue: 2 |Pages: 19
ISSN: 2156-1834|EISSN: 2156-1826|EISBN13: 9781799862451|DOI: 10.4018/IJCAC.2021040104
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MLA

Ahammad, Ishtiaq, et al. "Improvement of QoS in an IoT Ecosystem by Integrating Fog Computing and SDN." IJCAC vol.11, no.2 2021: pp.48-66. http://doi.org/10.4018/IJCAC.2021040104

APA

Ahammad, I., Khan, M. A., Salehin, Z. U., Uddin, M., & Soheli, S. J. (2021). Improvement of QoS in an IoT Ecosystem by Integrating Fog Computing and SDN. International Journal of Cloud Applications and Computing (IJCAC), 11(2), 48-66. http://doi.org/10.4018/IJCAC.2021040104

Chicago

Ahammad, Ishtiaq, et al. "Improvement of QoS in an IoT Ecosystem by Integrating Fog Computing and SDN," International Journal of Cloud Applications and Computing (IJCAC) 11, no.2: 48-66. http://doi.org/10.4018/IJCAC.2021040104

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Abstract

The internet of things (IoT) creates immense volume of objects online. But cloud computing isn't suited to environmental demands. Hence, fog computing (FC) emerged which shifts the computation load into edge fog devices. However, FC also faces some obstacles which can be mitigated by software-defined networking (SDN). By combining SDN and FC, the network form can overcome almost all cloud limitations and can boost QoS. Within this article, architecture is proposed by combining SDN and FC to improve QoS for IoT ecosystem. With the architecture, an algorithm is propounded based on virtual partition. Then a use case is presented and evaluated through iFogSim simulator. The result shows a significant improvement of several QoS parameters in the execution of fog with SDN compared to the cloud-only execution. The results also show better results for energy consumption, network use (212.21% reduction), and latency (275.9% reduction) compared with previous similar use case.

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