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research-article

MIRAGE: storage provisioning in large data centers using balanced component utilizations

Published: 01 January 2008 Publication History

Abstract

This paper presents MIRAGE, an architecture for data center storage provisioning that takes the approach of maintaining storage services for applications by ensuring well-balanced utilizations in all internal components of the storage infrastructure. We implemented MIRAGE on our local storage infrastructure and observed the sensitivity of the MIRAGE load-balancing algorithm to a combination of performance and heterogeneity skews. We also evaluated MIRAGE by deploying it on a financial data center. We reduced the service times of resource-constrained storage pools by an average of 68%.

References

[1]
R.Villars, What do I keep and how do I keep it?, IDC Directions Conference, April, 2007
[2]
An Analytic performance model of disk arrays. Edward K. Lee and Randy H. Katz. SIGMETRICS Performance Evaluation Review, 1993.

Cited By

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  • (2011)IO TetrisProceedings of the 2011 IEEE 4th International Conference on Cloud Computing10.1109/CLOUD.2011.103(700-707)Online publication date: 4-Jul-2011
  • (2010)Improving data-center efficiency for a smarter planetIBM Journal of Research and Development10.1147/JRD.2010.205053954:4(388-395)Online publication date: 1-Jul-2010

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Information & Contributors

Information

Published In

cover image ACM SIGOPS Operating Systems Review
ACM SIGOPS Operating Systems Review  Volume 42, Issue 1
January 2008
133 pages
ISSN:0163-5980
DOI:10.1145/1341312
Issue’s Table of Contents

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 January 2008
Published in SIGOPS Volume 42, Issue 1

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Author Tags

  1. algorithm
  2. data center
  3. storage optimization

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Cited By

View all
  • (2011)IO TetrisProceedings of the 2011 IEEE 4th International Conference on Cloud Computing10.1109/CLOUD.2011.103(700-707)Online publication date: 4-Jul-2011
  • (2010)Improving data-center efficiency for a smarter planetIBM Journal of Research and Development10.1147/JRD.2010.205053954:4(388-395)Online publication date: 1-Jul-2010

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