Advertisement

Reinventing the TPC: From Traditional to Big Data to Internet of Things

  • Raghunath NambiarEmail author
  • Meikel Poess
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9508)

Abstract

The Transaction Processing Performance Council (TPC) has made significant contributions to the industry and research with standards that encourage fair competition to accelerate product development and enhancements. Technology disruptions are changing the industry landscape faster than ever. This paper provides a high level summary of the history of the TPC and recent initiatives to make sure that it is a relevant organization in the age of digital transformation fueled by Big Data and the Internet of Things.

Keywords

Database benchmarks Big data Internet of things 

References

  1. 1.
    Stonebraker, M.: A new direction for TPC? In: Nambiar, R., Poess, M. (eds.) TPCTC 2009. LNCS, vol. 5895, pp. 11–17. Springer, Heidelberg (2009)Google Scholar
  2. 2.
    Nambiar, R., Poess, M.: Keeping the TPC relevant! PVLDB 6(11), 1186–1187 (2013). Nambiar, R., Wakou, N., Masland, A., Thawley, P., Lanken, M., Carman, F., Majdalany, M.: Shaping the Landscape of Industry Standard Benchmarks: Contributions of the Transaction Processing Performance Council (TPC), TPCTC 2011, pp. 1–9Google Scholar
  3. 3.
    Nambiar, R., Poess, M.: Performance Evaluation and Benchmarking. LNCS, vol. 5895. Springer, Heidelberg (2009). ISBN 978-3-642-10423-7Google Scholar
  4. 4.
    Nambiar, R., Poess, M.: Performance Evaluation, Measurement and Characterization of Complex Systems. LNCS, vol. 6417. Springer, Heidelberg (2011). ISBN 978-3-642-18205-1Google Scholar
  5. 5.
    Nambiar, R., Poess, M.: Topics in Performance Evaluation, Measurement and Characterization. LNCS, vol. 7144. Springer, Heidelberg (2012). ISBN 978-3-642-32626-4Google Scholar
  6. 6.
    Nambiar, R., Poess, M.: Selected Topics in Performance Evaluation and Benchmarking. LNCS, vol. 7755. Springer, Heidelberg (2013). ISBN 978-3-642-36726-7Google Scholar
  7. 7.
    Nambiar, R., Poess, M.: Performance Characterization and Benchmarking. LNCS, vol. 8391. Springer, Heidelberg (2014). ISBN 978-3-319-04935-9Google Scholar
  8. 8.
    Nambiar, R., Poess, M.: Performance Characterization and Benchmarking. Traditional to Big Data. LNCS, vol. 8904. Springer, Heidelberg (2015). ISBN 978-3-319-15349-0Google Scholar
  9. 9.
    Huppler, K., Johnson, D.: TPC express – a new path for TPC benchmarks. In: Nambiar, R., Poess, M. (eds.) TPCTC 2013. LNCS, vol. 8391, pp. 48–60. Springer, Heidelberg (2014)CrossRefGoogle Scholar
  10. 10.
    Nambiar, R., Poess, M.: Transaction performance vs. Moore’s law: a trend analysis. In: Nambiar, R., Poess, M. (eds.) TPCTC 2010. LNCS, vol. 6417, pp. 110–120. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  11. 11.
    TPC-C SpecificationGoogle Scholar
  12. 12.
    TPC-H SpecificationGoogle Scholar
  13. 13.
    TPC-E SpecificationGoogle Scholar
  14. 14.
    TPC-DS SpecificationGoogle Scholar
  15. 15.
    Nambiar, R., Poess, M.: The making of TPC-DS. In: VLDB 2006, pp. 1049–1058 (2006)Google Scholar
  16. 16.
    Nambiar, R., Poess, M.: Why you should run TPC-DS: a workload analysis. In: VLDB 2007, pp. 1138–1149 (2007)Google Scholar
  17. 17.
    TPC-VMS SpecificationGoogle Scholar
  18. 18.
    TPC-xHS SpecificationGoogle Scholar
  19. 19.
    Nambiar, R., Poess, M., Dey, A., Cao, P., Magdon-Ismail, T., Qi Ren, D., Bond, A.: Introducing TPCx-HS: the first industry standard for benchmarking big data systems. In: Nambiar, R., Poess, M. (eds.) TPCTC 2014. LNCS, vol. 8904, pp. 1–12. Springer, Heidelberg (2015)CrossRefGoogle Scholar
  20. 20.
    Chaitanya, K., et al.: Discussion of BigBench: a proposed industry standard performance benchmark for big Data. In: Nambiar, R., Poess, M. (eds.) TPCTC 2014. LNCS, vol. 8904, pp. 44–63. Springer, Heidelberg (2015)CrossRefGoogle Scholar
  21. 21.
    Bond, A., Johnson, D., Kopczynski, G., Taheri, H.: Architecture and performance characteristics of a PostgreSQL implementation of the TPC-E and TPC-V workloads. In: Nambiar, R., Poess, M. (eds.) TPCTC 2013. LNCS, vol. 8391, pp. 77–92. Springer, Heidelberg (2014)CrossRefGoogle Scholar
  22. 22.
    Nambiar, R.: Vendor-neutral benchmarks drive tech innovation. http://data-informed.com/vendor-neutral-benchmarks-drive-tech-innovation/
  23. 23.
    Dayal, U., Wilkinson, K., Simitsis, A., Castellanos, M., Paz, L.: Optimization of analytic data flows for next generation business intelligence applications. In: Nambiar, R., Poess, M. (eds.) TPCTC 2011. LNCS, vol. 7144, pp. 46–66. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  24. 24.
    Carey, M.J., Ling, L., Nicola, M., Shao, L.: EXRT: towards a simple benchmark for XML readiness testing. In: Nambiar, R., Poess, M. (eds.) TPCTC 2010. LNCS, vol. 6417, pp. 93–109. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  25. 25.
    Nambiar, R.: Benchmarking Internet of Things (IoT). http://blogs.cisco.com/datacenter/industry-standards-for-benchmarking-iot
  26. 26.
    Baru, C., Bhandarkar, M., Nambiar, R., Poess, M., Rabl, T.: Benchmarking big data systems and the big data top 100 listGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Cisco Systems, Inc.San JoseUSA
  2. 2.Oracle CorporationRedwood ShoresUSA

Personalised recommendations