Load Balancing and Quality of Experience in Software-Defined Networks

Gürhan Çoban; Murtaza Cicioğlu; Ali Çalhan

doi:10.35377/saucis...1599100

TR EN

Load Balancing and Quality of Experience in Software-Defined Networks

Öz

Software-defined networks (SDN) aim to eliminate the disadvantages of traditional network environments by separating the control plane and the data plane. As a result, the controllability of the network is increased. This study proposes to examine the relationship between load balancing and Quality of Experience (QoE) in SDNs in terms of Structural Similarity Index Method (SSIM), Round Trip Time (RTT), delay and hop count measurements. In addition, the data loss parameter is also examined. A comparison is made between clients and servers in a video streaming test. Five scenarios, namely no-load balancing, Round Robin, average RTT, delay-based and the proposed load balancing method, are tested. The average SSIM value of 0.9678 is obtained with the proposed load balancing method. When the data loss is examined, the average data loss value is 0.25 Mbytes higher than the Round Robin method, but better results are obtained than the other scenarios. High SSIM value and reduction in data loss indicate a better QoE. It is observed that load balancing operations performed by considering the load status of the servers and the statistical data of the network give better results.

Anahtar Kelimeler

Load Balancing and Quality of Experience in Software-Defined Networks

Abstract

Software-defined networks (SDN) aim to eliminate the disadvantages of traditional network environments by separating the control plane and the data plane. As a result, the controllability of the network is increased. This study proposes to examine the relationship between load balancing and Quality of Experience (QoE) in SDNs in terms of Structural Similarity Index Method (SSIM), Round Trip Time (RTT), delay and hop count measurements. In addition, the data loss parameter is also examined. A comparison is made between clients and servers in a video streaming test. Five scenarios, namely no-load balancing, Round Robin, average RTT, delay-based and the proposed load balancing method, are tested. The average SSIM value of 0.9678 is obtained with the proposed load balancing method. When the data loss is examined, the average data loss value is 0.25 Mbytes higher than the Round Robin method, but better results are obtained than the other scenarios. High SSIM value and reduction in data loss indicate a better QoE. It is observed that load balancing operations performed by considering the load status of the servers and the statistical data of the network give better results.

Keywords

Supporting Institution

Bursa Uludağ University Scientific Research Projects Unit

Project Number

FGA 2023–1557

Ethical Statement

It is declared that during the preparation process of this study, scientific and ethical principles were followed, and all the studies benefited from are stated in the bibliography.

References

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Details

Primary Language

English

Subjects

Software Engineering (Other)

Journal Section

Research Article

Authors

Gürhan Çoban ^*
0000-0003-2884-2982
Türkiye

Murtaza Cicioğlu
0000-0002-5657-7402
Türkiye

Ali Çalhan
0000-0002-5798-3103
Türkiye

Early Pub Date

September 24, 2025

Publication Date

September 30, 2025

Submission Date

December 10, 2024

Acceptance Date

August 13, 2025

Published in Issue

Year 2025 Volume: 8 Number: 3

DOI

https://doi.org/10.35377/saucis...1599100

IZ

https://izlik.org/JA95TN99NN

Cite

RIS / Bibtex

APA

Çoban, G., Cicioğlu, M., & Çalhan, A. (2025). Load Balancing and Quality of Experience in Software-Defined Networks. Sakarya University Journal of Computer and Information Sciences, 8(3), 382-391. https://doi.org/10.35377/saucis...1599100

AMA

1.Çoban G, Cicioğlu M, Çalhan A. Load Balancing and Quality of Experience in Software-Defined Networks. SAUCIS. 2025;8(3):382-391. doi:10.35377/saucis.1599100

Chicago

Çoban, Gürhan, Murtaza Cicioğlu, and Ali Çalhan. 2025. “Load Balancing and Quality of Experience in Software-Defined Networks”. Sakarya University Journal of Computer and Information Sciences 8 (3): 382-91. https://doi.org/10.35377/saucis. 1599100.

EndNote

Çoban G, Cicioğlu M, Çalhan A (September 1, 2025) Load Balancing and Quality of Experience in Software-Defined Networks. Sakarya University Journal of Computer and Information Sciences 8 3 382–391.

IEEE

[1]G. Çoban, M. Cicioğlu, and A. Çalhan, “Load Balancing and Quality of Experience in Software-Defined Networks”, SAUCIS, vol. 8, no. 3, pp. 382–391, Sept. 2025, doi: 10.35377/saucis...1599100.

ISNAD

Çoban, Gürhan - Cicioğlu, Murtaza - Çalhan, Ali. “Load Balancing and Quality of Experience in Software-Defined Networks”. Sakarya University Journal of Computer and Information Sciences 8/3 (September 1, 2025): 382-391. https://doi.org/10.35377/saucis. 1599100.

JAMA

1.Çoban G, Cicioğlu M, Çalhan A. Load Balancing and Quality of Experience in Software-Defined Networks. SAUCIS. 2025;8:382–391.

MLA

Çoban, Gürhan, et al. “Load Balancing and Quality of Experience in Software-Defined Networks”. Sakarya University Journal of Computer and Information Sciences, vol. 8, no. 3, Sept. 2025, pp. 382-91, doi:10.35377/saucis. 1599100.

Vancouver

1.Gürhan Çoban, Murtaza Cicioğlu, Ali Çalhan. Load Balancing and Quality of Experience in Software-Defined Networks. SAUCIS. 2025 Sep. 1;8(3):382-91. doi:10.35377/saucis. 1599100