Skip to main content

Towards an Industry Standard for Benchmarking Big Data Systems

  • Conference paper
  • First Online:
Advancing Big Data Benchmarks (WBDB 2013, WBDB 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8585))

Included in the following conference series:

  • 1286 Accesses

Abstract

Big Data is one of most talked about topics across major industry verticals, research and, governments. Many enterprises are adapting Big Data analytics for improving operational efficiency, customer experience, and to drive new business opportunities. But they are challenged with tools, techniques and metrics to characterize and compare hardware and software systems that can optimally meet their requirements. In this paper the author looks at the industry treads, the role that well established industry standard consortia like the TPC can play in developing standards, and a status update from the TPC.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Cisco Datacenter Blogs: Towards an Industry Standard for Benchmarking Big Data Workloads. http://blogs.cisco.com/datacenter/towards-an-industry-standard-for-benchmarking-big-data-workloads/. One More Step Closer Towards an Industry Standard for Benchmarking Big Data Workloads. http://blogs.cisco.com/datacenter/wbdb2012-in/

  2. Nambiar, R., Poess, M.: A Review of System Benchmark Standards and a Look Ahead Towards an Industry Standard for Benchmarking Big Data Workloads. IGI Global, Hershey (2013)

    Google Scholar 

  3. Nambiar, R.O., Lanken, M., Wakou, N., Carman, F., Majdalany, M.: Transaction processing performance council (TPC): twenty years later – a look back, a look ahead. In: Nambiar, R., Poess, M. (eds.) TPCTC 2009. LNCS, vol. 5895, pp. 1–10. Springer, Heidelberg (2009)

    Google Scholar 

  4. IDC: Digital Universe Study (2010), IDC Worldwide Big Data Technology and Services 2012–2017 Forecast (2013)

    Google Scholar 

  5. Nambiar, R., Wakou, N., Carman, F., Majdalany, M.: Transaction processing performance council (TPC): state of the council 2010. In: Nambiar, R., Poess, M. (eds.) TPCTC 2010. LNCS, vol. 6417, pp. 1–9. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  6. Nambiar, R., Poess, M., Masland, A., Taheri, H., Emmerton, M., Carman, F., Majdalany, M.: TPC benchmark roadmap 2012. In: Nambiar, R., Poess, M. (eds.) TPCTC 2012. LNCS, vol. 7755, pp. 1–20. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  7. TPC Bylaws. http://www.tpc.org/information/about/documentation/Bylaws_v2.7.htm. TPC Policies. http://www.tpc.org/information/about/documentation/TPC_Policies_v6.0.htm

  8. Nambiar, R., Poess, M. (eds.): TPCTC 2009. LNCS, vol. 5895, pp. 1–10. Springer, Heidelberg (2009)

    Google Scholar 

  9. Nambiar, R., Poess, M. (eds.): TPCTC 2012. LNCS, vol. 7755, pp. 1–20. Springer, Heidelberg (2013)

    Book  Google Scholar 

  10. Nambiar, R., Poess, M.: Keeping the TPC relevant! PVLDB 6(11), 1186–1187 (2013)

    Google Scholar 

  11. 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)

    Chapter  Google Scholar 

  12. Poess, M., Nambiar, R., Walrath, D.: Why you should run TPC-DS: a workload analysis. In: VLDB 2007, pp. 1138–1149 (2007)

    Google Scholar 

  13. Nambiar, R., Poess, M.: The making of TPC-DS. In: VLDB 2006, pp. 1049–1058

    Google Scholar 

  14. 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)

    Google Scholar 

  15. Gartner Survey (2013)

    Google Scholar 

  16. 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 

  17. Nambiar, R., Poess, M. (eds.): TPCTC 2013. LNCS, vol. 8391, pp. 1–15. Springer, Heidelberg (2014)

    Book  Google Scholar 

  18. Join the TPC. http://www.tpc.org/information/about/join.asp

  19. Rabl, T., Posses, M., Baru, C., Jacobsen, H.-A. (eds.): WBDB 2012. LNCS, vol. 8163, pp. 1–10. Springer, Heidelberg (2014)

    Book  Google Scholar 

Download references

Acknowledgements

The author thanks the past and present members of the TPC.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nambiar Raghunath .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Raghunath, N. (2014). Towards an Industry Standard for Benchmarking Big Data Systems. In: Rabl, T., Raghunath, N., Poess, M., Bhandarkar, M., Jacobsen, HA., Baru, C. (eds) Advancing Big Data Benchmarks. WBDB WBDB 2013 2013. Lecture Notes in Computer Science(), vol 8585. Springer, Cham. https://doi.org/10.1007/978-3-319-10596-3_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-10596-3_15

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10595-6

  • Online ISBN: 978-3-319-10596-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics