AWS Lambda Language Performance

dc.contributor.authorHosseini, Mehrshad
dc.contributor.authorSahragard, Omid
dc.contributor.departmentGöteborgs universitet/Institutionen för data- och informationsteknikswe
dc.contributor.departmentUniversity of Gothenburg/Department of Computer Science and Engineeringeng
dc.date.accessioned2019-11-12T13:14:56Z
dc.date.available2019-11-12T13:14:56Z
dc.date.issued2019-11-12
dc.description.abstractCloud services are experiencing expansive growth, and the potential uses cases for its application in the IT sector is becoming increasingly widespread. This rapid growth is accompanied by a demand for performance which necessitates systematic benchmarking. The process of setting up a cloudbased benchmark is tedious and obstructive. Therefore, frequent benchmarks must be conducted in order to inform individuals from practitioners to hobbyists alike. Amazon Web Services is a major market leader in cloud computing which offers a Function as a Service platform named AWS Lambda. The following will conduct a benchmark on the Lambda platform and its supported languages: C#, Java, Node.js, and Python. The benchmark will examine the performance of the respective languages with relation to workload input size when configured to three different memory sizes: 128, 512, and 1024MB. The results presented reveal languages such as Java and C# consistently outperform the other languages with C# being the most performant when configured to 128 and 1024MB. All languages experienced a performance increase in tandem with increasing memory size.sv
dc.identifier.urihttp://hdl.handle.net/2077/62454
dc.language.isoengsv
dc.setspec.uppsokTechnology
dc.subjectcloud computingsv
dc.subjectAWS Lambdasv
dc.subjectcloud performancesv
dc.subjectbenchmark testingsv
dc.subjectFunction as a Servicesv
dc.subjectFaasv
dc.titleAWS Lambda Language Performancesv
dc.typetext
dc.type.degreeStudent essay
dc.type.uppsokM2

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