Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/29744
Title: Full-mesh VPN performance evaluation for a secure edge-cloud continuum
Authors: Kjorveziroski, Vojdan 
Bernad, Cristina 
Gilly, Katja
Filiposka, Sonja 
Keywords: Edge-cloud continuum
Kubernetes
Orchestration
Virtual private networks
Wireguard
ZeroTier
Issue Date: 11-Mar-2024
Publisher: John Wiley & Sons Ltd.
Source: Kjorveziroski V, Bernad C, Gilly K, Filiposka S. Full-mesh VPN performance evaluation for a secure edge-cloud continuum. Softw: Pract Exper. 2024; 1-22. doi: 10.1002/spe.3329
Journal: Software: Practice and Experience
Abstract: The recent introduction of full-mesh virtual private network (VPN) solutions which offer near native performance, coupled with modern encryption algorithms and easy scalability as a result of a central control plane have a strong potential to enable the implementation of a seamless edge-cloud continuum. To test the performance of existing solutions in this domain, we present a framework consisted of both essential and optional features that full-mesh VPN solutions need to support before they can be used for interconnecting geographically dispersed compute nodes. We then apply this framework on existing offerings and select three VPN solutions for further tests: Headscale, Netbird, and ZeroTier. We evaluate their features in the context of establishing an underlay network on top of which a Kubernetes overlay network can be created. We test pod-to-pod TCP and UDP throughput as well as Kubernetes application programming interface (API) response times, in multiple scenarios, accounting for adverse network conditions such as packet loss or packet delay. Based on the obtained measurement results and through analysis of the underlying strengths and weaknesses of the individual implementations, we draw conclusions on the preferred VPN solution depending on the use-case at hand, striking a balance between usability and performance.
URI: http://hdl.handle.net/20.500.12188/29744
DOI: doi.org/10.1002/spe.3329
Appears in Collections:Faculty of Computer Science and Engineering: Journal Articles

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