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Issues in Benchmark Metric Selection

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Performance Evaluation and Benchmarking (TPCTC 2009)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 5895))

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Abstract

It is true that a metric can influence a benchmark but will esoteric metrics create more problems than they will solve? We answer this question affirmatively by examining the case of the TPC-D metric which used the much debated geometric mean for the single-stream test. We will show how a simple choice influenced the benchmark and its conduct and, to some extent, DBMS development. After examining other alternatives our conclusion is that the “real” measure for a decision-support benchmark is the arithmetic mean.

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References

  1. TPC BENCHMARK D (Decision Support), Transaction Processing Council, http://www.tpc.org

  2. Fleming, P., Wallace, J.: How Not to Lie With Statistics: The Correct Way to Summarize Benchmarks. Comm. ACM 29(3), 218–221 (1986)

    Article  Google Scholar 

  3. Licea-Kane, B.: http://www.spec.org/gwpg/gpc.static/geometric.html

  4. Crolotte, A.: Issues in Metric Selection and the TPC-D Single Stream Power, http://www.tpc.org

  5. Smith, J.: Characterizing Computer Performance with a Single Number. Communications of of the ACM 31(10) (October 1988)

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  6. Kurian John, L.: More on Finding a Single Number to indicate Overall Performance of a Benchmark Suite. ACM SIGARCH Computer Architecture News 32 (March 2004)

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  7. Citron, D., Hurani, D., Gnadrey, A.: The Harmonic or Geometric Mean: Does it Really Matter? ACM SIGARCH Computer Architecture News 34(4) (September 2006)

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  8. Mashey, J.: War of the benchmark Means: Time for a Truce. ACM SIGARCH Computer Architecture News 32(4) (September 2004)

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  9. Calot, G.: Cours de Statistique Descriptive, Dunod, Paris (1964)

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© 2009 Springer-Verlag Berlin Heidelberg

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Crolotte, A. (2009). Issues in Benchmark Metric Selection. In: Nambiar, R., Poess, M. (eds) Performance Evaluation and Benchmarking. TPCTC 2009. Lecture Notes in Computer Science, vol 5895. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10424-4_11

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  • DOI: https://doi.org/10.1007/978-3-642-10424-4_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10423-7

  • Online ISBN: 978-3-642-10424-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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