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Encyclopedia of Database Systems pp 3912–3917Cite as

Temporal Benchmarks

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Definition

Temporal benchmarks are used to compare temporal support for various databases. Benchmarks consist of data, a schema for that data, and workloads that perform computations on that data.

Historical Background

Benchmarks

Benchmarks consist of three parts, data, a schema for that data, and workloads that perform computations on that data. They have been used in order to provide of means of comparing the performance of various software systems, including databases. Among the most widely used benchmarks are those published by the Transaction Processing Performance Council including TPC-C and TPC-H [1, 2].

TPC-C provides an environment that simulates several uses interacting with a single database at one time. TPC-C models the data, schema, and workloads after those of a wholesale supplier. To replicate this process, TPC-C simulates users that enter new orders, record payments, check the status of an order, deliver an order, and view the available products in the warehouse.

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References

  1. Transaction Processing Performance Council. TPC benchmarks. http://www.tpc.org/information/benchmarks.asp. Accessed 26 Sept 2014.

  2. Gray J. Benchmark handbook: for database and transaction processing systems. San Francisco: Morgan Kaufmann Publishers Inc.; 1992.

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  3. Yao BB, Özsu MT, Khandelwal N. XBench benchmark and performance testing of XML DBMSs. In: Proceedings of the 20th International Conference on Data Engineering; 2004. p. 621–33.

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  4. Jensen CS. A consensus test suite of temporal database queries. Department of Mathematics and Computer Science, Institute for Electronic Systems, University of Aalborg, 1993.

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  5. Kaufmann M, Fischer PM, May N, Tonder A, Kossmann D. TPC-BiH: a Benchmark for bitemporal databases. In: Proceedings of the TPC Technology Conference; 2014. p. 16–31.

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  6. Thomas SW, Snodgrass RT, Zhang R. τBench: extending XBench with time. Time Center technical report, University of Arizona, TR-92, 2010.

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  7. Currim F, Currim S, Dyreson C, Joshi S, Snodgrass RT, Thomas SW, Roeder E. τXSchema: support for data- and schema-versioned XML documents. TimeCenter technical report, University of Arizona, TR-91, 2009.

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Author information

Authors and Affiliations

  1. University of Arizona, Tucson, AZ, USA

    Jennifer Dempsey

  2. Raytheon Missile Systems, Tucson, AZ, USA

    Jennifer Dempsey

  3. Department of Computer Science, University of Arizona, Tucson, AZ, USA

    Richard T. Snodgrass

  4. Dataware Ventures, Kingston, ON, Canada

    Stephen W. Thomas

  5. University of Melbourne, Melbourne, VIC, Australia

    Rui Zhang

  6. Dataware Ventures, Tucson, AZ, USA

    Richard T. Snodgrass & Rui Zhang

  7. Dataware Ventures, Redondo Beach, CA, USA

    Rui Zhang

Authors
  1. Jennifer Dempsey
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  2. Richard T. Snodgrass
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  3. Stephen W. Thomas
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  4. Rui Zhang
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Corresponding author

Correspondence to Jennifer Dempsey .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, GA, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, ON, Canada

    M. Tamer Özsu

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© 2018 Springer Science+Business Media, LLC, part of Springer Nature

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Cite this entry

Dempsey, J., Snodgrass, R.T., Thomas, S.W., Zhang, R. (2018). Temporal Benchmarks. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_80730

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