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Benchmarking Database Cloud Services

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Performance Evaluation and Benchmarking for the Era of Cloud(s) (TPCTC 2019)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 12257))

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Abstract

Meanwhile, many database cloud services are available. The well-known providers are AWS (Amazon Web Service), Google Cloud, and Azure (Microsoft). Oracle and IBM offer cloud services for their in-house database products. In the past, the TPC organization has focused on performance measurement of database systems. Often, however, a database system is predefined, and the question arises as to the most efficient infrastructure and the best price/performance ratio - whether on-premise or as a cloud service. On the Internet, you can hardly find comparable and traceable information about the performance of database cloud services. Therefore, it is challenging to make corresponding price/performance comparisons [1]. The company Peakmarks was founded in 2011 to provide a robust and comprehensive benchmarking framework to identify representative performance indicators of database services. Peakmarks does not sell any hardware but runs benchmarks on behalf of users and manufacturers and thus guarantees absolute independence. Users can license Peakmarks benchmark software to perform their own performance tests. This presentation gives a rough overview of the Peakmarks benchmark software, its architecture, and workloads. Examples are used to show how understandable key performance metrics for database cloud services can be determined quickly and practically.

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Notes

  1. 1.

    From now on, we use the word Peakmarks synonymously with Peakmarks benchmark software.

  2. 2.

    A processor may be a core or a thread, dependent on processor architecture and the used multithreading technology.

References

  1. Bermbach, D. (ed.): Cloud Service Benchmarking. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-55483-9_15

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  2. Crolotte, A.: Issues in benchmark metric selection. In: Nambiar, R., Poess, M. (eds.) TPCTC 2009. LNCS, vol. 5895, pp. 146–152. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-10424-4_11

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  3. Huppler, K.: The art of building a good benchmark. In: Nambiar, R., Poess, M. (eds.) TPCTC 2009. LNCS, vol. 5895, pp. 18–30. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-10424-4_3

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Correspondence to Manfred Drozd .

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Drozd, M. (2020). Benchmarking Database Cloud Services. In: Nambiar, R., Poess, M. (eds) Performance Evaluation and Benchmarking for the Era of Cloud(s). TPCTC 2019. Lecture Notes in Computer Science(), vol 12257. Springer, Cham. https://doi.org/10.1007/978-3-030-55024-0_10

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  • DOI: https://doi.org/10.1007/978-3-030-55024-0_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-55023-3

  • Online ISBN: 978-3-030-55024-0

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