A Hybrid Edge-Cloud System for Networking Service Components Optimization Using the Internet of Things

Souvik Pal; N. Z. Jhanjhi; Azmi Shawkat Abdulbaqi; D. Akila; Abdulaleem Ali Almazroi; Faisal S. Alsubaei

doi:10.3390/electronics12030649

journal article Open Access Jan 28, 2023

A Hybrid Edge-Cloud System for Networking Service Components Optimization Using the Internet of Things

Souvik Pal

N. Z. Jhanjhi Azmi Shawkat Abdulbaqi

D. Akila Abdulaleem Ali Almazroi Faisal S. Alsubaei

Electronics Vol. 12 No. 3 pp. 649 · MDPI AG

View at Publisher Save 10.3390/electronics12030649

Abstract

The need for data is growing steadily due to big data technologies and the Internet’s quick expansion, and the volume of data being generated is creating a significant need for data analysis. The Internet of Things (IoT) model has appeared as a crucial element for edge platforms. An IoT system has serious performance issues due to the enormous volume of data that many connected devices produce. Potential methods to increase resource consumption and responsive services’ adaptability in an IoT system include edge-cloud computation and networking function virtualization (NFV) techniques. In the edge environment, there is a service combination of many IoT applications. The significant transmission latency impacts the functionality of the entire network in the IoT communication procedure because of the data communication among various service components. As a result, this research proposes a new optimization technique for IoT service element installation in edge-cloud-hybrid systems, namely the IoT-based Service Components Optimization Model (IoT-SCOM), with the decrease of transmission latency as the optimization aim. Additionally, this research creates the IoT-SCOM model and optimizes it to choose the best deployment option with the least assured delay. The experimental findings demonstrate that the IoT-SCOM approach has greater accuracy and effectiveness for the difficulty of data-intensive service element installation in the edge-cloud environment compared to the existing methods and the stochastic optimization technique.

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Details

Published: Jan 28, 2023
Vol/Issue: 12(3)
Pages: 649
License: View

Authors

S

Souvik Pal

Department of Computer Science and Engineering, Sister Nivedita University, Kolkata 700156, India; Post-Doctoral Researcher, Sambalpur University, Sambalpur 768019, India

N

N. Z. Jhanjhi

School of Computer Science, SCS Taylor’s University, Subang Jaya 47500, Malaysia

A

Azmi Shawkat Abdulbaqi

Department of Computer Science, College of Computer Science and Information Technology, University of Anbar, Baghdad 55431, Iraq

D

D. Akila

Department of Computer Applications, Saveetha College of Liberal Arts and Sciences, SIMATS Deemed University, Chennai 602105, India

A

Abdulaleem Ali Almazroi

Department of Information Technology, Faculty of Computing and Information Technology in Rabigh, King Abdulaziz University, Rabigh 21911, Saudi Arabia

F

Faisal S. Alsubaei

Department of Cybersecurity, College of Computer Science and Engineering, University of Jeddah, Jeddah 23218, Saudi Arabia

Cite This Article

Souvik Pal, N. Z. Jhanjhi, Azmi Shawkat Abdulbaqi, et al. (2023). A Hybrid Edge-Cloud System for Networking Service Components Optimization Using the Internet of Things. Electronics, 12(3), 649. https://doi.org/10.3390/electronics12030649

A Hybrid Edge-Cloud System for Networking Service Components Optimization Using the Internet of Things

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