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Experience from hadoop benchmarking with hibench: From micro-benchmarks toward end-to-end pipelines

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2014) 8585 43-48
DOI: 10.1007/978-3-319-10596-3_4
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Abstract

As Hadoop-based big data framework grows in pervasiveness and scale, realistically benchmarking Hadoop systems becomes critically important to the Hadoop community and industry. In this paper, we present our experience of Hadoop benchmarking with HiBench (an open source Hadoop benchmark suite widely used by Hadoop users), and introduce our recent work on advanced end-to-end ETL-recommendation pipelines based on our experience.

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APA

Yi, L., & Dai, J. (2014). Experience from hadoop benchmarking with hibench: From micro-benchmarks toward end-to-end pipelines. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8585, pp. 43–48). Springer Verlag. https://doi.org/10.1007/978-3-319-10596-3_4

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