A Comparison of Stream Processing Frameworks

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Date

2017

Authors

Yazıcı, Ali
Yazici,A.

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Institute of Electrical and Electronics Engineers Inc.

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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.

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Keywords

Big Data, Flink, Spark, Storm, Stream Processing Framework

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22

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N/A

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N/A

Source

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

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1

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12