Open Access

ARTICLE

Packet Optimization of Software Defined Network Using Lion Optimization

by Jagmeet Kaur¹, Shakeel Ahmed², Yogesh Kumar³, A. Alaboudi⁴, N. Z. Jhanjhi⁵, Muhammad Fazal Ijaz^6,*

1 Department of Computer Science & Engineering, Chandigarh University, Mohali, Punjab, 140413, India
2 Department of Computer Science, College of Computer Sciences and Information Technology, King Faisal University, Al-Ahsa, 31982, Saudi Arabia
3 Department of Computer Science & Engineering, Chandigarh Group of Colleges, Mohali, Punjab, 140307, India
4 College of Computer Science, Shaqra University, Saudi Arabia
5 School of Computer Science and Engineering, SCE, Taylor's University, Subang Jaya, 47500 Malaysia
6 Department of Intelligent Mechatronics Engineering, Sejong University, Seoul, 05006, Korea

* Corresponding Author: Muhammad Fazal Ijaz. Email:

Computers, Materials & Continua 2021, 69(2), 2617-2633. https://doi.org/10.32604/cmc.2021.017470

Received 31 January 2021; Accepted 13 April 2021; Issue published 21 July 2021

Abstract

There has been an explosion of cloud services as organizations take advantage of their continuity, predictability, as well as quality of service and it raises the concern about latency, energy-efficiency, and security. This increase in demand requires new configurations of networks, products, and service operators. For this purpose, the software-defined network is an efficient technology that enables to support the future network functions along with the intelligent applications and packet optimization. This work analyzes the offline cloud scenario in which machines are efficiently deployed and scheduled for user processing requests. Performance is evaluated in terms of reducing bandwidth, task execution times and latencies, and increasing throughput. A minimum execution time algorithm is used to compute the completion time of all the available resources which are allocated to the virtual machine and lion optimization algorithm is applied to packets in a cloud environment. The proposed work is shown to improve the throughput and latency rate.

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