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Costs of cloud computing for a biometry department. A case study.

J Knaus1, S Hieke, H Binder

  • 1Institute of Medical Biometry and Medical Informatics, University Medical Center Freiburg, Freiburg, Germany. jo@imbi.uni-freiburg.de

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For biometry research, on-site hardware can be more cost-effective than cloud computing (Amazon Web Services) if utilization is 25-30%. Cloud computing remains a viable option for new projects or demand spikes.

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Area of Science:

  • Biometry
  • Computational Statistics
  • Health Informatics

Background:

  • Cloud computing offers scalable, virtualized resources with pay-as-you-use billing.
  • Limited access to traditional data centers makes cloud appealing for biometry research units.

Purpose of the Study:

  • To compare the costs of on-site hardware versus Amazon Web Services (AWS) for a biometry research unit.
  • To evaluate the economic feasibility of cloud computing for scientific research.

Main Methods:

  • Calculated the total cost of ownership for existing on-site hardware.
  • Derived hourly prices based on 2011 system utilization.
  • Simulated a permutation-based statistical approach on both AWS and on-site hardware.

Main Results:

  • On-site hardware was less expensive than AWS cloud rental at 25-30% system utilization over 3-5 years.
  • Sufficient main memory in cloud instances was a critical factor in cost comparison.

Conclusions:

  • On-site hardware costs are influenced by infrastructure but have moderate impact; overall utilization is key.
  • Cloud computing is a viable option for early-stage projects or to manage demand surges.