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dc.contributor.authorShrestha, Raju
dc.contributor.authorNisha, Beebu
dc.date.accessioned2024-01-04T14:37:42Z
dc.date.available2024-01-04T14:37:42Z
dc.date.created2024-01-03T10:02:02Z
dc.date.issued2023
dc.identifier.isbn979-8-3503-1350-5
dc.identifier.isbn979-8-3503-1351-2
dc.identifier.urihttps://hdl.handle.net/11250/3109881
dc.description.abstractMicroservices and serverless are arguably the two most widely used architectures today for deploying applications in the cloud. With both these technologies, applications can take advantage of faster delivery, lightweight, scalable, and lower development and maintenance costs. However, there are ongoing debates concerning which of these two architectures to use for deploying a given application. This paper evaluates and compares them quantitatively in terms of their performance and cost, based on a use case study for an image processing application. The study was conducted by deploying the application using the two technologies in the two major cloud platforms, Amazon AWS and Google Cloud. Results showed that serverless perform better in terms of performance and cost, whereas microservices show superiority in terms of memory use.en_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartofIEEE 8th International Conference on Smart Cloud (SmartCloud)
dc.relation.ispartofseriesIEEE International Conference on Smart Cloud (SmartCloud);
dc.titlePerformance Evaluation and Comparison of Microservices and Serverless Deployments in Clouden_US
dc.title.alternativePerformance Evaluation and Comparison of Microservices and Serverless Deployments in Clouden_US
dc.typeChapteren_US
dc.typePeer revieweden_US
dc.typeConference objecten_US
dc.description.versionacceptedVersionen_US
cristin.ispublishedtrue
cristin.fulltextpostprint
dc.identifier.doihttps://doi.org/10.1109/SmartCloud58862.2023.00043
dc.identifier.cristin2219611
dc.source.pagenumber6en_US


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