Performance Analysis of Lightweight Container Orchestration Platforms for Edge-Based IoT Applications
Table of Contents
Seminars-2-2025 - This article is part of a series.
Abstract #
The rise of Microservices architectures has introduced a surge in the demand for containerized software provisioning and orchestration. Kubernetes is a leading container orchestration platform widely adopted for its efficient management of containerized applications within cloud datacenters. However, the proliferation of containerized applications, particularly in resource-constrained environments like Internet of Things (IoT) edge devices, has prompted numerous software vendors to release lightweight Kubernetes-derived platforms, tailored for streamlined deployment in such infrastructures. Despite this, selecting the most suitable distribution for edge-based IoT applications remains a challenge due to a lack of comprehensive studies in this domain. This paper presents a comprehensive model for evaluating the performance of lightweight Container Orchestration Distributions (CODs), incorporating resource usage, control-plane performance, and data-plane performance metrics. Also, we conduct a comparative empirical analysis of four prominent CODs (i.e., k0s, k3s, Microk8s, and Microshift) by focusing on their suitability for edge environments. Our findings reveal that k3s is the overall best-performant COD.
Bio #
Simone Ferlin-Reiter is a Performance Engineer with Red Hat AB and an Adjunct Senior Lecturer with Karlstad University. Her PhD dissertation focused on increasing robustness in multipath transport with MPTCP and transport layer end-to-end performance evaluation. Nowadays, her research interests are in network and system measurements, performance analysis, security and congestion control. She serves in multiple roles at top research venues in the computer networking community, with her work published at top venues an awarded the Applied Network Research Prize (ANRP).
Affiliation #
Contact #
E-mail: sferlinr@redhat.com
Resources and Materials #
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