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dc.contributor.authorZhu, Jiapengen_NZ
dc.contributor.authorPatros, Panagiotisen_NZ
dc.contributor.authorKent, Kenneth B.en_NZ
dc.contributor.authorDawson, Michaelen_NZ
dc.contributor.editorJaramillo, A.en_NZ
dc.contributor.editorJourdan, G.-V.en_NZ
dc.contributor.editorPetriu, D.en_NZ
dc.contributor.editorChen, W.en_NZ
dc.coverage.spatialConference held Markham, Ontario, Canadaen_NZ
dc.date.accessioned2019-09-11T02:28:07Z
dc.date.available2018en_NZ
dc.date.available2019-09-11T02:28:07Z
dc.date.issued2018en_NZ
dc.identifier.citationZhu, J., Patros, P., Kent, K. B., & Dawson, M. (2018). Node.js scalability investigation in the cloud. In A. Jaramillo, G.-V. Jourdan, D. Petriu, & W. Chen (Eds.), Proceeding of 28th Annual International Conference on Computer Science and Software Engineering (CASCON 2018) (pp. 201–212). New York, NY, USA: ACM.en
dc.identifier.urihttps://hdl.handle.net/10289/12862
dc.description.abstractNode.js has gained popularity in cloud development due to its asynchronous, non-blocking and event-driven nature. However, scalability issues can limit the number of concurrent requests while achieving an acceptable level of performance. To the best of our knowledge, no cloud-based benchmarks or metrics focusing on Node.js scalability exist. This paper presents the design and implementation of Ibenchjs, a scalability-oriented benchmarking framework, and a set of sample test applications. We deploy Ibenchjs in a local and isolated cloud to collect and report scalability-related measurements and issues of Node.js as well as performance bottlenecks. Our findings include: 1) the scaling performance of the tested Node.js test applications was sub-linear; 2) no improvements were measured when more CPUs were added without modifying the number of Node.js instances; and 3) leveraging cloud scaling solutions significantly outperformed Node.js-module-based scaling.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherACMen_NZ
dc.relation.urihttps://dl.acm.org/citation.cfm?id=3291312
dc.rights© 2018 Copyright held by the author(s).
dc.sourceCASCON 2018en_NZ
dc.subjectcomputer scienceen_NZ
dc.titleNode.js scalability investigation in the clouden_NZ
dc.typeConference Contribution
dc.relation.isPartOfProceeding of 28th Annual International Conference on Computer Science and Software Engineering (CASCON 2018)en_NZ
pubs.begin-page201
pubs.elements-id226440
pubs.end-page212
pubs.finish-date2018-10-31en_NZ
pubs.place-of-publicationNew York, NY, USA
pubs.start-date2018-10-29en_NZ


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