A Comparison of Stream Processing Frameworks

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dc.authorscopusid14054145900
dc.authorscopusid8514029100
dc.authorscopusid57193499041
dc.contributor.authorYazıcı, Ali
dc.contributor.authorKarakaya,Z.
dc.contributor.authorKarakaya, Ziya
dc.contributor.authorYazici,A.
dc.contributor.authorAlayyoub,M.
dc.contributor.otherSoftware Engineering
dc.contributor.otherComputer Engineering
dc.date.accessioned2024-07-05T15:45:10Z
dc.date.available2024-07-05T15:45:10Z
dc.date.issued2017
dc.departmentAtılım Universityen_US
dc.department-tempKarakaya Z., Atilim University, Computer Engineering Department, Ankara, Turkey; Yazici A., Atilim University, Computer Engineering Department, Ankara, Turkey; Alayyoub M., MIA Technologies, Gazi Technopark, Ankara, Turkeyen_US
dc.description.abstractThis study compares the performance of Big Data Stream Processing frameworks including Apache Spark, Flink, and Storm. Also, it measures the resource usage and performance scalability of the frameworks against a varying number of cluster sizes. It has been observed that, Flink outperforms both Spark and Storm under equal constraints. However, Spark can be optimized to provide the higher throughput than Flink with the cost of higher latency. © 2017 IEEE.en_US
dc.identifier.citation22
dc.identifier.doi10.1109/COMAPP.2017.8079733
dc.identifier.endpage12en_US
dc.identifier.isbn978-153862752-5
dc.identifier.scopus2-s2.0-85040002697
dc.identifier.scopusqualityN/A
dc.identifier.startpage1en_US
dc.identifier.urihttps://doi.org/10.1109/COMAPP.2017.8079733
dc.identifier.wosqualityN/A
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2017 International Conference on Computer and Applications, ICCA 2017 -- 2017 International Conference on Computer and Applications, ICCA 2017 -- 6 September 2017 through 7 September 2017 -- Doha -- 131502en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBig Dataen_US
dc.subjectFlinken_US
dc.subjectSparken_US
dc.subjectStormen_US
dc.subjectStream Processing Frameworken_US
dc.titleA Comparison of Stream Processing Frameworksen_US
dc.typeConference Objecten_US
dspace.entity.typePublication
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