ANALISIS QoS PADA JARINGAN SDN BERBASIS RYU CONTROLLER DENGAN OPTIMASI GENETIC ALGORITHM PADA METODE WRR DAN ECMP

Deliana Wahyukusumaningati, . (2026) ANALISIS QoS PADA JARINGAN SDN BERBASIS RYU CONTROLLER DENGAN OPTIMASI GENETIC ALGORITHM PADA METODE WRR DAN ECMP. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.

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Abstract

The demand for stable Quality of Service (QoS) continues to grow, yet in Software Defined Network (SDN) with unequal-capacity links, load balancing methods that distribute traffic evenly are often suboptimal. Based on this problem, this study aims to analyze and compare the QoS performance of the Equal Cost Multi Path (ECMP) and Weighted Round Robin (WRR) methods along with their Genetic Algorithm-optimized versions, namely GA-WRR and GA-ECMP. The method used is a simulation experiment on Mininet and the Ryu Controller with a two-path asymmetric topology (10 Mbps and 5 Mbps), tested under Constant Bit Rate (CBR) and Bursty traffic while measuring throughput, delay, jitter, and packet loss. The results show that ECMP produced the lowest performance, whereas the Genetic Algorithm converged to a weight close to the link capacity ratio (67:33), and under Bursty traffic GA-WRR achieved the best performance with a throughput of 13.6 Mbps and a jitter of 8.2 ms. This study concludes that the Genetic Algorithm-based load balancing method, particularly GA-WRR, is recommended as an adaptive approach to improve QoS in SDN with unequal link capacities.

Item Type:	Thesis (Skripsi)
Additional Information:	[No. Panggil: 2210511047] [Pembimbing: Indra Permana Solihin] [Penguji 1: Ridwan Raafi'udin] [Penguji 2: Novi Trisman Hadi]
Uncontrolled Keywords:	SDN, Quality of Service, load balancing, Genetic Algorithm, Ryu Controller
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software
Divisions:	Fakultas Ilmu Komputer > Program Studi Informatika (S1)
Depositing User:	DELIANA WAHYUKUSUMANINGATI
Date Deposited:	29 Oct 2026 13:38
Last Modified:	29 Oct 2026 13:38
URI:	http://repository.upnvj.ac.id/id/eprint/54527

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