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Analyzing the Impact of Cloud Infrastructure on VPN Performance: A Comparison of Microsoft Azure and Amazon Web Services

In recent years, the interest and utilization of VPNs and cloud computing have surged, which has led to the development of Cloud VPNs. Cloud VPNs are often used to give employers access to company resources over a secured and trusted network, but individuals can also use them. Cloud computing offers numerous advantages, including cost efficiency, scalability, security, and reliability. Companies and individuals widely use it to streamline operations, reduce expenditures, and leverage technologies without the need to maintain on-premise infrastructure. Cloud-based solutions impose specific requirements on technologies designed to operate in the cloud, which include security, efficient resource management, and high network availability and performance. In this thesis, we will analyze and evaluate the network performance impact that Amazon Web Services (AWS) and Microsoft Azure, two of the market-leading cloud platforms, have on the VPN services OpenVPN and WireGuard while considering associated operational costs and user complexity. The network performance impact is evaluated through measuring the throughput, latency, jitter, and packet loss. We have performed experiments divided into three setups, each simulating different traffic patterns, and VPN usage scenarios. Throughout these experiments, we observed and documented the user complexity related to setup, installation, and configuration processes. Our findings indicate that Azure has the best overall network throughput across all setups, fewer retransmissions, and fewer packet losses. Conversely, AWS exhibits lower latency and jitter. Additionally, our assessment of operational costs and user complexity reveals that Azure offers lower associated costs but a higher user complexity. Furthermore, our experiments identified that WireGuard, when paired with Azure, offers the best VPN solution.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:mdh-67302
Date January 2024
CreatorsWallin, Filip, Putrus, Marwin
PublisherMälardalens universitet, Akademin för innovation, design och teknik
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess

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