Analisis Performa Jaringan Software Defined Networking dengan Algoritma Random Early Detection
Article Sidebar
Main Article Content
Abstract
In the management of SDN networks, the main challenges faced are traffic congestion and network overload. One of the solutions that has been implemented is the Random Early Detection (RED) algorithm. This research aims to analyze the performance of SDN networks with the implementation of the RED algorithm compared to SDN networks without the use of the RED algorithm. The results of the study show that the use of the RED algorithm (Random Early Detection) in SDN networks has a significant impact on Quality of Service (QoS) parameters, such as packet loss, throughput, and average delay. In high load conditions, there is a controlled increase in packet loss with RED as the number of hosts increases. The average packet loss with RED is 1.57% for 4 hosts, whereas without RED, it is only 1.4%. RED also has a positive impact on throughput, with an average throughput of 243.8 kbps for 4 hosts with RED, while without RED, it only reaches 124.3 kbps. Furthermore, the use of RED reduces the average delay in packet delivery. The average delay with RED is 3.8 ms for 4 hosts, whereas without RED, it reaches 5.92 ms.
Downloads
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
References
Fauzan, R., Ikhwan, S., & Ginting, J. G. A. (2020). Analysis Performance in Software Defined Network (Sdn) Using Aruba Van Controller. Jurnal Informatika: Jurnal Pengembangan IT, 5(3), 64-69. DOI: https://doi.org/10.30591/jpit.v5i3.1937.
Bandhaso, C. P., & Sutanto, Y. (2022). Analisis dan Implementasi Metode Random Early Detection (RED) Pada Jaringan TCP/IP. Respati, 17(2), 51-57. DOI: https://doi.org/10.35842/jtir.v17i2.458.
Gaur, K., Choudhary, P., Yadav, P., Jain, A., & Kumar, P. (2021, March). Software defined networking: a review on architecture, security and applications. In IOP Conference Series: Materials Science and Engineering (Vol. 1099, No. 1, p. 012073). IOP Publishing.
Hassan, S. O., Nwaocha, V. O., Rufai, A. U., Odule, T. J., Enem, T. A., Ogundele, L. A., & Usman, S. A. (2022). Random early detection-quadratic linear: an enhanced active queue management algorithm. Bulletin of Electrical Engineering and Informatics, 11(4), 2262-2272. DOI: https://doi.org/10.11591/eei.v11i4.3875.
Pradana, A. M., Purboyo, T. W., & [Last Name, Initial]. (2019). Analisis Load Balancing Pada Jaringan Software Defined Network (SDN) Menggunakan Algoritma Jaringan Syaraf Tiruan (JST). eProceedings, 6(1), 1393–1400. Retrieved from. https://openlibrarypublications.telkomuniversity.ac.id/index.php/engineering/article/view/8553%0Ahttps://openlibrarypublications.telkomuniversity.ac.id/index.php/engineering/article/viewFile/8553/8421.
Shodiq, F. F., & Prihanto, A. (2022). Analisis Perbandingan Performansi Kontroler RYU Dan POX Berbasis Software Defined Network (SDN) Pada Routing OSPF. Journal of Informatics and Computer Science (JINACS), 3(03), 216-223. DOI: https://doi.org/10.26740/jinacs.v3n03.p216-223.
Ramadhan, A. A. (2021). Analisis Perbandingan Gateway Balancing Pada Software Defined Network Dengan Algoritma Scheduling Tambahan. Jurnal Teknika, 13(2), 99-105. DOI: https://doi.org/10.30736/jt.v13i2.681.