A Comparison of Stream Processing Frameworks

dc.authorscopusid 14054145900
dc.authorscopusid 8514029100
dc.authorscopusid 57193499041
dc.contributor.author Karakaya,Z.
dc.contributor.author Yazici,A.
dc.contributor.author Alayyoub,M.
dc.contributor.other Software Engineering
dc.contributor.other Computer Engineering
dc.date.accessioned 2024-09-10T21:35:13Z
dc.date.available 2024-09-10T21:35:13Z
dc.date.issued 2017
dc.department Atılım University en_US
dc.department-temp Karakaya Z., Atilim University, Computer Engineering Department, Ankara, Turkey; Yazici A., Atilim University, Computer Engineering Department, Ankara, Turkey; Alayyoub M., MIA Technologies, Gazi Technopark, Ankara, Turkey en_US
dc.description.abstract This 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.citationcount 22
dc.identifier.doi 10.1109/COMAPP.2017.8079733
dc.identifier.endpage 12 en_US
dc.identifier.isbn 978-153862752-5
dc.identifier.scopusquality N/A
dc.identifier.startpage 1 en_US
dc.identifier.uri https://doi.org/10.1109/COMAPP.2017.8079733
dc.identifier.uri https://hdl.handle.net/20.500.14411/7349
dc.identifier.wosquality N/A
dc.institutionauthor Yazıcı, Ali
dc.institutionauthor Karakaya, Ziya
dc.language.iso en en_US
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_US
dc.relation.ispartof 2017 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 -- 131502 en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Big Data en_US
dc.subject Flink en_US
dc.subject Spark en_US
dc.subject Storm en_US
dc.subject Stream Processing Framework en_US
dc.title A Comparison of Stream Processing Frameworks en_US
dc.type Conference Object en_US
dspace.entity.type Publication
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