A Comparison of Stream Processing Frameworks

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dc.authoridKarakaya, Ziya/0000-0003-0233-7312
dc.authorwosidYazici, Ali/Q-5115-2019
dc.authorwosidKarakaya, Ziya/J-8279-2018
dc.contributor.authorKarakaya, Ziya
dc.contributor.authorYazici, Ali
dc.contributor.authorAlayyoub, Mohammed
dc.contributor.otherComputer Engineering
dc.contributor.otherSoftware Engineering
dc.date.accessioned2024-10-06T11:12:07Z
dc.date.available2024-10-06T11:12:07Z
dc.date.issued2017
dc.departmentAtılım Universityen_US
dc.department-temp[Karakaya, Ziya] Atilim Univ, Comp Engn Dept, Ankara, Turkey; [Yazici, Ali] Atilim Univ, Software Engn Dept, Ankara, Turkey; [Alayyoub, Mohammed] MIA Technol, Gazi Technopk, Ankara, Turkeyen_US
dc.descriptionKarakaya, Ziya/0000-0003-0233-7312en_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.en_US
dc.description.woscitationindexConference Proceedings Citation Index - Science
dc.identifier.citation29
dc.identifier.doi[WOS-DOI-BELIRLENECEK-154]
dc.identifier.endpage12en_US
dc.identifier.isbn9781538627525
dc.identifier.scopusqualityN/A
dc.identifier.startpage1en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14411/9112
dc.identifier.wosWOS:000428578600001
dc.identifier.wosqualityN/A
dc.institutionauthorKarakaya, Ziya
dc.institutionauthorYazıcı, Ali
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartofInternational Conference on Computer and Applications (ICCA) -- SEP 06-07, 2017 -- Doha, U ARAB EMIRATESen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBig Dataen_US
dc.subjectStream Processing Frameworken_US
dc.subjectSparken_US
dc.subjectStormen_US
dc.subjectFlinken_US
dc.titleA Comparison of Stream Processing Frameworksen_US
dc.typeConference Objecten_US
dspace.entity.typePublication
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