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Technology Conference on Performance Evaluation and Benchmarking

TPCTC 2018: Performance Evaluation and Benchmarking for the Era of Artificial Intelligence pp 58–70Cite as

Characterizing the Performance and Resilience of HCI Clusters with the TPCx-HCI Benchmark

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Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 11135))

Abstract

We use the newly-released TPCx-HCI benchmark to characterize the performance and resilience properties of Hyper-Converged Infrastructure clusters. We demonstrate that good performance on an HCI cluster requires delivering all properties of high IOPS, low latencies, low CPU overhead, and uniform access to data from all Nodes. We show that unless the cluster can quickly and efficiently rebalance the VMs after a change in the workload, performance will be severely impacted.

We use the data accessibility test of TPCx-HCI to show how performance is impacted by rebuilding traffic after a Node goes down, and how long it takes for the rebuilding to finish.

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References

  1. Bond, A., Kopczynski, G., Taheri, H.R.: Two firsts for the TPC: a benchmark to characterize databases virtualized in the cloud, and a publicly-available, complete end-to-end reference kit. In: Nambiar, R., Poess, M. (eds.) TPCTC 2012. LNCS, vol. 7755, pp. 34–50. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-36727-4_3

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  2. Bond, A., Johnson, D., Kopczynski, G., Taheri, H.R.: 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, Cham (2014). https://doi.org/10.1007/978-3-319-04936-6_6

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  3. Bond, A., Johnson, D., Kopczynski, G., Taheri, H.R.: Profiling the performance of virtualized databases with the TPCx-V benchmark. In: Nambiar, R., Poess, M. (eds.) TPCTC 2015. LNCS, vol. 9508, pp. 156–172. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-31409-9_10

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  4. Sethuraman, P., Reza Taheri, H.: TPC-V: a benchmark for evaluating the performance of database applications in virtual environments. In: Nambiar, R., Poess, M. (eds.) TPCTC 2010. LNCS, vol. 6417, pp. 121–135. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-18206-8_10

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  5. SPECvirt_sc2013 benchmark info, SPEC Virtualization Committee. http://www.spec.org/virt_sc2013/

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  7. VMware, Inc., VMmark 3. http://www.vmware.com/products/vmmark/overview.html

  8. VMware, Inc., vSphere Distributed Resource Scheduler. https://www.vmware.com/products/vsphere/drs-dpm.html

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Author information

Authors and Affiliations

  1. VMware, Inc., Palo Alto, USA

    H. Reza Taheri & Greg Kopczynski

  2. Nutanix, Inc., San Jose, USA

    Gary Little & Bhavik Desai

  3. Red Hat, Inc., Raleigh, USA

    Andrew Bond

  4. InfoSizing, Inc., Manitou Springs, USA

    Doug Johnson

Authors
  1. H. Reza Taheri
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  2. Gary Little
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  3. Bhavik Desai
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  4. Andrew Bond
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  5. Doug Johnson
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  6. Greg Kopczynski
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Corresponding author

Correspondence to H. Reza Taheri .

Editor information

Editors and Affiliations

  1. Advanced Micro Systems, Inc., Santa Clara, CA, USA

    Raghunath Nambiar

  2. Oracle Corporation, Redwood Shores, CA, USA

    Meikel Poess

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Taheri, H.R., Little, G., Desai, B., Bond, A., Johnson, D., Kopczynski, G. (2019). Characterizing the Performance and Resilience of HCI Clusters with the TPCx-HCI Benchmark. In: Nambiar, R., Poess, M. (eds) Performance Evaluation and Benchmarking for the Era of Artificial Intelligence. TPCTC 2018. Lecture Notes in Computer Science(), vol 11135. Springer, Cham. https://doi.org/10.1007/978-3-030-11404-6_5

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  • DOI: https://doi.org/10.1007/978-3-030-11404-6_5

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-11403-9

  • Online ISBN: 978-3-030-11404-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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