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Performance Evaluation of Infrastructure as a Service across Cloud Service Providers
Author(s)
Sithiyopasakul, Saran
Archevapanich, Tuanjai
Sithiyopasakul, Paisan
Lasakul, Attasit
Benjangkaprasert, Chawalit
Date Issued
January 1, 2023
Type
Conference Paper
Abstract
The purpose of this research aims to monitor, analyze, and compare the performance of infrastructure as a service (IaaS) between the selective cloud providers. To assure which cloud provider has more stability, reliability, and scalability. This paper focuses on performance testing based on a deployed web server in the cloud environment. The main feature of cloud computing is scalability thus most common IaaS cloud service providers (CSPs) have Auto Scaling features for instances or virtual machines. Not only does this paper gives the experimental results of the scaling scalability testing, but it also provides the results of recovery testing to inspect how long a web server is able to recover from failures and load testing which simulated traffic requests. Testing was conducted in the major public clouds of Google Cloud Platform (GCP), Microsoft Azure, and Amazon Web Services (AWS). Azure performs the most efficiently of almost all testing but hardest to configure.
Citation
Proceeding 2023 International Electrical Engineering Congress Ieecon 2023, 58-63, 2023