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Rethinking Benchmarking for Data

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Performance Evaluation and Benchmarking: Traditional to Big Data to Internet of Things (TPCTC 2015)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 9508))

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Abstract

Benchmarking has been critical in making progress in the field of data, as it has provided a crucial mechanism to accelerate the progress in the data community.

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Notes

  1. 1.

    “Digital Planet” is a descriptive phrase used here to capture the notion that our world is increasingly viewed by the data that describes the physical world, and operated by analytics on this data.

References

  1. Anon, et al.: A measure of transaction processing power. Datamation 31, 112–118 (1985)

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  2. Bitton, D., DeWitt, D.J., Turbyfil, C.: Benchmarking database systems: a systematic approach. In: Proceedings of the 1983 Very Large Database Conference, October 1983

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  3. Gray, J.: A measure of transaction processing 20 years later. IEEE Data Eng. Bull. 28(2), 3–4 (2005)

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  4. Floratou, A., Patel, J.M., Lang, W., Halverson, A.: When free is not really free: what does it cost to run a database workload in the cloud? In: Nambiar, R., Poess, M. (eds.) TPCTC 2011. LNCS, vol. 7144, pp. 163–179. Springer, Heidelberg (2012)

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Author information

Authors and Affiliations

  1. Pivotal Software Inc., Palo Alto, USA

    Jignesh M. Patel

Authors
  1. Jignesh M. Patel
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Corresponding author

Correspondence to Jignesh M. Patel .

Editor information

Editors and Affiliations

  1. Cisco Systems, Inc., San Jose, CA, USA

    Raghunath Nambiar

  2. Oracle Corporation, Redwood City, CA, USA

    Meikel Poess

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Patel, J.M. (2016). Rethinking Benchmarking for Data. In: Nambiar, R., Poess, M. (eds) Performance Evaluation and Benchmarking: Traditional to Big Data to Internet of Things. TPCTC 2015. Lecture Notes in Computer Science(), vol 9508. Springer, Cham. https://doi.org/10.1007/978-3-319-31409-9_8

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  • DOI: https://doi.org/10.1007/978-3-319-31409-9_8

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-31408-2

  • Online ISBN: 978-3-319-31409-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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