Application Responsiveness & Performance within PaaS on Azure Cloud using Benchmark Testing with JMeter/Azure Loadtesting

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dc.contributor.advisorTom Wallen
dc.contributor.authorSilva, Daniel
dc.date.accessioned2023-03-03T16:09:38Z
dc.date.available2023-03-03T16:09:38Z
dc.date.issued2022-05
dc.description.abstractThis paper proposes that the same application running in a Platform as a Service environment, which provides the same performance, will behave differently when using different code bases. The same website has been built on top of four different coding languages, Python, PHP, DotNet, and NodeJS, and hosted using the same environment meaning there is no difference in computing power, location, network, or any other physical difference one might experience within multiple on-premise datacentres. To measure the performance, a benchmarking tool named JMeter has been used to run load tests over a period of 30 days. The results have shown that PHP had the best score of 3.58 on a 5 Point Likert Scale used in combination with a Weighted Matrix. Future studies should focus on more complex applications and use other benchmarking tools to further evaluate the performance within PaaS.en
dc.identifier.citationSilva, D. (2022) Application Responsiveness & Performance within PaaS on Azure Cloud using Benchmark Testing with JMeter/Azure Loadtesting. Master's thesis, Dublin Business School.en
dc.identifier.urihttps://esource.dbs.ie/handle/10788/4398
dc.language.isoenen
dc.publisherDublin Business Schoolen
dc.rights.holderItems in eSource are protected by copyright. Previously published items are made available in accordance with the copyright policy of the publisher/copyright holder.en
dc.rights.urihttp://esource.dbs.ie/copyrighten
dc.subjectCloud computing.en
dc.subjectPlatform as a Serviceen
dc.titleApplication Responsiveness & Performance within PaaS on Azure Cloud using Benchmark Testing with JMeter/Azure Loadtestingen
dc.typeThesisen
dc.type.degreenameMBA-Cloud Computingen
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