Faculty of Computer Science and Engineering

Permanent URI for this communityhttps://repository.ukim.mk/handle/20.500.12188/5

The Faculty of Computer Science and Engineering (FCSE) within UKIM is the largest and most prestigious faculty in the field of computer science and technologies in Macedonia, and among the largest faculties in that field in the region. The FCSE teaching staff consists of 50 professors and 30 associates. These include many “best in field” personnel, such as the most referenced scientists in Macedonia and the most influential professors in the ICT industry in the Republic of Macedonia.

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    Item type:Publication,
    Full-mesh VPN performance evaluation for a secure edge-cloud continuum
    (John Wiley & Sons Ltd., 2024-03-11)
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    Gilly, Katja
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    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.
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    Item type:Publication,
    Deploying Production-Grade Kubernetes Cluster
    (2019-05)
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    Deploying a production-grade Kubernetes cluster is a challenging feat, mainly because of all the different services that need to be integrated with each other. We examined Kubespray, which is an open-source project whose purpose is to automate the deployment of stable clusters, as well as ease the future administration and lifecycle management along the way. Additional components can be installed during the deployment process that enrich and improve the cluster capabilities. We used Kubespray and together with other open-sources projects we created production-grade Kubernetes cluster ready for real deployment scenarios.