Comparative Analysis of Lightweight Kubernetes Distributions for Edge Computing: Security, Resilience and Maintainability
- URL: http://arxiv.org/abs/2503.04815v1
- Date: Tue, 04 Mar 2025 20:05:40 GMT
- Title: Comparative Analysis of Lightweight Kubernetes Distributions for Edge Computing: Security, Resilience and Maintainability
- Authors: Diyaz Yakubov, David Hästbacka,
- Abstract summary: This study compares and analyzes the lightweight distributions k3s, k0s, KubeEdge, and OpenYurt.<n>Results indicate that while k3s and k0s offer superior ease of development due to their simplicity, they have lower security compliance compared to, KubeEdge, and OpenYurt.<n>Findings highlight trade-offs between performance, security, resiliency, and maintainability, offering insights for practitioners deploying in edge environments.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: The increasing demand for real-time data processing in Internet of Things (IoT) devices has elevated the importance of edge computing, necessitating efficient and secure deployment of applications on resource-constrained devices. Kubernetes and its lightweight distributions (k0s, k3s, KubeEdge, and OpenYurt) extend container orchestration to edge environments, but their security, reliability, and maintainability have not been comprehensively analyzed. This study compares Kubernetes and these lightweight distributions by evaluating security compliance using kube-bench, simulating network outages to assess resiliency, and documenting maintainability. Results indicate that while k3s and k0s offer superior ease of development due to their simplicity, they have lower security compliance compared to Kubernetes, KubeEdge, and OpenYurt. Kubernetes provides a balanced approach but may be resource-intensive for edge deployments. KubeEdge and OpenYurt enhance security features and reliability under network outages but increase complexity and resource consumption. The findings highlight trade-offs between performance, security, resiliency, and maintainability, offering insights for practitioners deploying Kubernetes in edge environments.
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