SPBench: a framework for creating benchmarks of stream processing applications

Author:

Garcia Adriano MarquesORCID,Griebler DalvanORCID,Schepke ClaudioORCID,Fernandes Luiz GustavoORCID

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Numerical Analysis,Theoretical Computer Science,Software

Reference42 articles.

1. Andrade HC, Gedik B, Turaga DS (2014) Fundamentals of stream processing: application design, systems, and analytics. Cambridge University Press, Cambridge

2. McCool M, Reinders J, Robison A (2012) Structured parallel programming: patterns for efficient computation. Elsevier, Amsterdam

3. Friedman E, Tzoumas K (2016) Introduction to Apache Flink: stream processing for real time and beyond. O’Reilly Media, Inc., Sebastopol

4. Jain A (2017) Mastering apache storm: Real-time big data streaming using kafka, hbase and redis. Packt Publishing Ltd, Birmingham

5. Nabi Z (2016) Pro Spark Streaming: The Zen of Real-Time Analytics Using Apache Spark. Apress, New York

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