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Big Data Cloud-Based Advisory System

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Advancing Big Data Benchmarks (WBDB 2013, WBDB 2013)

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

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Abstract

This article proposes a concept of Big Data Advisory & Benchmarking platform in a virtualized environment based on VMware vSphere. The key value of the proposed platform is a unified Big Data business-oriented benchmarking approach, data collection approach and an advisory system based on sequential process modeling and cost comparison model. Unified benchmarking ensures same tasks using the same data. Data collection utilizes vSphere metrics for system performance. A prototype solution is developed.

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References

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Author information

Authors and Affiliations

  1. EMC Corporation, Saint Petersburg, Russia

    Vladimir Suvorov

Authors
  1. Vladimir Suvorov
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Corresponding author

Correspondence to Vladimir Suvorov .

Editor information

Editors and Affiliations

  1. University of Toronto, Toronto, Ontario, Canada

    Tilmann Rabl

  2. Cisco Systems, Inc., San José, USA

    Nambiar Raghunath

  3. Oracle Corporation, Redwood Shores, USA

    Meikel Poess

  4. Pivotal Software, Inc., Palo Alto, USA

    Milind Bhandarkar

  5. University of Toronto, Toronto, Canada

    Hans-Arno Jacobsen

  6. University of California at San Diego, La Jolla, USA

    Chaitanya Baru

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© 2014 Springer International Publishing Switzerland

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Suvorov, V. (2014). Big Data Cloud-Based Advisory System. 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_13

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  • DOI: https://doi.org/10.1007/978-3-319-10596-3_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10595-6

  • Online ISBN: 978-3-319-10596-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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