Citation :

Vidhi Sutaria, Dharmendra Bhatti, "An Optimized Container Scheduling Algorithm for Kubernetes using Maximization of Resource Utilization," International Journal of Engineering Trends and Technology (IJETT), vol. 74, no. 3, pp. 129-140, 2026. Crossref, https://doi.org/10.14445/22315381/IJETT-V74I3P110

Abstract

Container scheduling is a key issue in cloud computing, as it determines where and how containers are run to optimize performance and resource utilization. However, a notable gap remains in research, particularly in exploring specific scheduling parameters that could lead to more effective solutions. In this research, discuss the problem of container scheduling and identify underexplored factors that influence scheduling efficiency and costs. This study comprises a comprehensive literature review, a comparison of the proposed method with existing approaches, and experimental validation using a standard data set and a newly introduced approach to achieve an effective container scheduling solution. The results highlight the potential of the proposed approach to improve scheduling strategies in containerized environments.

Keywords

Cloud Computing, Container Technology, Heuristic Approach, Kubernetes, Machine Learning.

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