Influencing Factors in the Scalability of Distributed Stream Processing Jobs

Influencing Factors in the Scalability of Distributed Stream Processing Jobs

More and more use cases require fast, accurate, and reliable processing of large volumes of data. To do this, a distributed stream processing framework is needed which can distribute the load over several machines. In this work, we study and benchmark the scalability of stream processing jobs in fou...

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Bibliographic Details
Main Authors: Giselle Van Dongen, Dirk Van Den Poel
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Apache spark
structured streaming
apache flink
apache kafka
kafka streams
distributed computing
Online Access:https://ieeexplore.ieee.org/document/9507502/

Internet

https://ieeexplore.ieee.org/document/9507502/

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