Abstract As cloud services expand, the need to improve the performance of data center infrastructure becomes more important. High-performance computing, advanced networking solutions, and resource optimization strategies can help data centers maintain the speed and efficiency necessary to provide high-quality cloud services. Running containerized applications is one such optimization strategy, offering benefits such as improved portability, enhanced security, better resource utilization, faster deployment and scaling, and improved integration and interoperability. These benefits can help organizations improve their application deployment and management, enabling them to respond more quickly and effectively to dynamic business needs. Kubernetes is a container orchestration system designed to automate the deployment, scaling, and management of containerized applications. One of its key features is the ability to schedule the deployment and execution of containers across a cluster of nodes using a scheduling algorithm. This algorithm determines the best placement of containers on the available nodes in the cluster. In this paper, we provide a comprehensive review of various scheduling algorithms in the context of Kubernetes. We characterize and group them into four sub-categories: generic scheduling, multi-objective optimization-based scheduling, AI-focused scheduling, and autoscaling enabled scheduling, and identify gaps and issues that require further research.

Khaldoun Senjab

Sohail Abbas

Naveed Ahmed

Atta ur Rehman Khan

Journal of Cloud Computing Advances Systems and Applications

The Journal of Cloud Computing: Advances, Systems and Applications (JoCCASA) will publish research articles on all aspects of Cloud Computing. Principally, articles will address topics that are core to Cloud Computing, focusing on the Cloud applications, the Cloud systems, and the advances that will lead to the Clouds of the future. Comprehensive review and survey articles that offer up new insights, and lay the foundations for further exploratory and experimental work, are also relevant.

The Journal of Cloud Computing will publish research articles on all aspects of Cloud Computing. The articles will primarily focus on core topics related to Cloud Computing, including Cloud applications, Cloud systems, and advancements that will shape the future of Clouds. Comprehensive review and survey articles that provide new insights and lay the groundwork for further exploratory and experimental work are also highly relevant.

《Journal of Cloud Computing》将发表关于云计算各个方面的研究文章。文章主要集中在云计算的核心主题上，特别是云应用、云系统以及未来云计算的进展。此外，全面的综述和调查文章也非常重要，这些文章能够提供新的见解，并为进一步的探索和实验工作奠定基础。

Journal of Cloud Computing

A survey of Kubernetes scheduling algorithms

A comprehensive review of various scheduling algorithms in the context of Kubernetes is provided, characterized and group them into four sub-categories: generic scheduling, multi-objective optimization-based scheduling, AI-focused scheduling, and autoscaling enabled scheduling.

Category	Quartile
计算机科学	3
计算机科学, 计算机信息系统	4

A survey of Kubernetes scheduling algorithms

ivySCI AI Smartly Parses PDF, Answers Researchers' Questions, and Helps You Understand Papers in Seconds

Journal Info

Category	Quartile
COMPUTER SCIENCE, INFORMATION SYSTEMS	2