Citation

Farid Ebrahim, Ramadhan Mazen and Lim, Heng Siong and Lee, Chin Poo and Zarakovitis, Charilaos C. and Chien, Su Fong (2025) Optimizing Kubernetes with Multi-Objective Scheduling Algorithms: A 5G Perspective. Computers, 14 (9). p. 390. ISSN 2073-431X

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Abstract

This review provides an in-depth examination of multi-objective scheduling algorithms within 5G networks, with a particular focus on Kubernetes-based container orchestration. As 5G systems evolve, efficient resource allocation and the optimization of Quality-of-Service (QoS) metrics, including response time, energy efficiency, scalability, and resource utilization, have become increasingly critical. Given the scheduler’s central role in orchestrating containerized workloads, this study analyzes diverse scheduling strategies designed to address these competing objectives. A novel taxonomy is introduced to categorize existing approaches, offering a structured view of deterministic, heuristic, and learning-based methods. Furthermore, the review identifies key research challenges, highlights open issues, such as QoS-aware orchestration and resilience in distributed environments, and outlines prospective directions to advance multi-objective scheduling in Kubernetes for next-generation networks. By synthesizing current knowledge and mapping research gaps, this work aims to provide both a foundation for newcomers and a practical reference for advancing scholarly and industrial efforts in the field.

Item Type:	Article
Uncontrolled Keywords:	5G network, Kubernetes, multi-objective scheduling algorithms, QoS
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions:	Faculty of Engineering and Technology (FET) Faculty of Information Science and Technology (FIST)
Depositing User:	Nurin Syazwani Azmi
Date Deposited:	06 Nov 2025 06:16
Last Modified:	10 Nov 2025 03:28
URII:	http://shdl.mmu.edu.my/id/eprint/14715

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