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All Journal MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) SITEKIN: Jurnal Sains, Teknologi dan Industri Semesta Teknika ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Sinkron : Jurnal dan Penelitian Teknik Informatika REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Journal of Applied Smart Electrical Network and System (JASENS) Journal of Internet and Software Engineering Emitor: Jurnal Teknik Elektro Jurnal Abdimas JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Ronald Adrian, Ronald
Universitas Muhammadiyah Yogyakarta
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Social Sciences Other

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Journal : Journal of Applied Smart Electrical Network and System (JASENS)

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Optimasi Klasterisasi Kubernetes untuk Peningkatan QoS pada Jaringan 5G Adrian, Ronald; Mandasari, R. Deasy
Journal of Applied Smart Electrical Network and Systems Vol 6 No 01 (2025): Vol 06, No. 01 June 2025
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jasens.v5i2.1129

Abstract

Resource management, scalability, and Quality of Service are key challenges in deploying 5G networks, particularly regarding latency, throughput, and packet loss. Conventional network architectures often fail to meet the demands of high-speed and low-latency communication, especially for applications such as the Internet of Things and cloud computing. This study applies a Kubernetes-based clustering method to address these challenges to optimize 5G network performance through efficient resource allocation and load balancing. Experiments were conducted in a Containerized Network Function environment through simulations, demonstrating significant performance improvements. Test results recorded a 28.69% reduction in latency, a 34.52% increase in throughput, and a 32.14% reduction in packet loss compared to a non-clustered 5G network. These improvements are supported by Kubernetes features such as auto-scaling, traffic distribution, and real-time load balancing. This approach demonstrates that Kubernetes clustering effectively enhances Quality of Service, optimizes resource allocation, and improves the overall efficiency of 5G network systems. Keywords: 5G Networks, Clustering, Kubernetes, QoS, Resource Management
Co-Authors Alam, Sahirul Alif Subardono, Alif Amalyris, Waffiyah Asroni, Asroni Didin Wahyudin, Didin Dzulfikar Fahmizal, Fahmizal Fauziyyah, Anni Karimatul Iwan Kustiawan Kusumadewi, Rismanda Lukman Hakim, Dadang Mandasari, R Deasy Mandasari, R. Deasy Mayub, Afrizal Muhammad Arrofiq Nida, Hanifatun Oktiawati, Unan Yusmaniar Pratiwi, Dheni Yulia Dinda Rosyid, Nur Rohman Santoso, Ardhi Wicaksono Saputra, Yuris Mulya Tika Erna Putri