Kubernetes in Action: Exploring the Performance of Kubernetes Distributions in the Cloud

Fuente: arXiv
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Main Authors: Aqasizade, Hossein, Ataie, Ehsan, Bastam, Mostafa
Format: Preprint
Published: 2024
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author Aqasizade, Hossein
Ataie, Ehsan
Bastam, Mostafa
author_facet Aqasizade, Hossein
Ataie, Ehsan
Bastam, Mostafa
contents Kubernetes has emerged as a leading open-source platform for container orchestration, allowing organizations to efficiently manage and deploy containerized applications at scale. This paper investigates the performance of four Kubernetes distributions, namely Kubeadm, K3s, MicroK8s, and K0s when running OpenFaaS as a containerized service on a cluster of computing nodes on CloudLab. For this purpose, experiments are conducted to examine the performance of two virtualization modes, namely HVM and PV, supported by Xen as the underlying hypervisor. Moreover, two container runtimes that are integrated with Kubernetes, namely Docker, and Containerd, are examined to assess their performance on both disk-intensive and CPU-intensive workloads. After determining the appropriate underlying Xen mode and container runtime, the Kubernetes distributions are set up and their performance is measured using various metrics, such as request rate, CPU utilization, and scaling behavior.
format Preprint
id arxiv_https___arxiv_org_abs_2403_01429
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Kubernetes in Action: Exploring the Performance of Kubernetes Distributions in the Cloud
Aqasizade, Hossein
Ataie, Ehsan
Bastam, Mostafa
Distributed, Parallel, and Cluster Computing
Performance
Kubernetes has emerged as a leading open-source platform for container orchestration, allowing organizations to efficiently manage and deploy containerized applications at scale. This paper investigates the performance of four Kubernetes distributions, namely Kubeadm, K3s, MicroK8s, and K0s when running OpenFaaS as a containerized service on a cluster of computing nodes on CloudLab. For this purpose, experiments are conducted to examine the performance of two virtualization modes, namely HVM and PV, supported by Xen as the underlying hypervisor. Moreover, two container runtimes that are integrated with Kubernetes, namely Docker, and Containerd, are examined to assess their performance on both disk-intensive and CPU-intensive workloads. After determining the appropriate underlying Xen mode and container runtime, the Kubernetes distributions are set up and their performance is measured using various metrics, such as request rate, CPU utilization, and scaling behavior.
title Kubernetes in Action: Exploring the Performance of Kubernetes Distributions in the Cloud
topic Distributed, Parallel, and Cluster Computing
Performance
url https://arxiv.org/abs/2403.01429