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An investigation of approaches to mitigating aginst cold start in serverless platforms

2021-11Master thesis Open access
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datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informáticapt_PT
dc.contributor.advisorOliveira, Luís
dc.contributor.authorRibeiro, Diogo Abreu
dc.date.accessioned2022-01-27T18:09:24Z
dc.date.available2022-01-27T18:09:24Z
dc.date.issued2021-11
dc.date.submitted2021-11
dc.description.abstractThis project presents the investigation and results found in the topic of ways to mitigate against cold start in serverless platforms, AWS (Amazon Web Services) being the focus of the investigation. The investigation started with the study of the current scientific literature in order to contextualize the problem and present hypothesis to study. From there, test scenarios were developed, resorting to the open source serverless framework, by deploying several functions with different characteristics and gathering results to analyse, regarding cold start times. The results showed that the cold start problem can and should be optimized from the side of the client, not only for the sake of performance, but also in order to reduce costs.pt_PT
dc.identifier.tid202889165pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.26/39053
dc.language.isoporpt_PT
dc.subjectServerlesspt_PT
dc.subjectAWSpt_PT
dc.subjectFaaSpt_PT
dc.subjectCold Startpt_PT
dc.subjectLambdapt_PT
dc.titleAn investigation of approaches to mitigating aginst cold start in serverless platformspt_PT
dc.typemaster thesis
dspace.entity.typePublication
rcaap.rightsopenAccesspt_PT
rcaap.typemasterThesispt_PT
thesis.degree.grantorInstituto Politécnico de Tomar
thesis.degree.nameMestrado em Informática- Internet das Coisaspt_PT

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