research-article

Feasibility regions: exploiting tradeoffs between power and performance in disk drives

Authors:

Alma Riska,

Ningfang Mi,

Evgenia Smirni,

Giuliano CasaleAuthors Info & Claims

ACM SIGMETRICS Performance Evaluation Review, Volume 37, Issue 3

Pages 43 - 48

https://doi.org/10.1145/1710115.1710124

Published: 21 January 2010 Publication History

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Abstract

Low utilization immediately suggests that placing the system into a low power mode during idle times may considerably decrease power consumption. As future workload remains largely unknown, "when" to initiate a power saving mode and for "how long" to stay in this mode remains a challenging open problem, given that performance degradation of future jobs should not be compromised. We present a model and an algorithm that manages to successfully explore feasible regions of power and performance, and expose the system limitations according to both measures. Extensive analysis on a set of enterprise storage traces shows the algorithm's robustness for successfully identifying "when" and for "how long" one should activate a power saving mode given a set of power/performance targets that are provided by the user.

References

[1]

C. Dennis and G. Dirk. Massive arrays of idle disks for storage archives. In Proceedings of the ACM/IEEE Conference on Supercomputing (SC), pages 1--11, 2002.

Digital Library

Google Scholar

[2]

D. Essary and A. Amer. Predictive data grouping: Defining the bounds of energy and latency reduction through predictive data grouping and replication. ACM Transactions on Storage, 4(1):1--23, 2008.

Digital Library

Google Scholar

[3]

S. Gurumurthi, A. Sivasubramaniam, M. Kandemir, and H. Franke. DRPM: Dynamic Speed Control for Power Management in Server Class Disks. In Proceedings of the Annual International Symposium on Computer Architecture (ISCA), pages 169--180, 2003.

Digital Library

Google Scholar

[4]

N. Mi, A. Riska, X. Li, E. Smirni, and E. Riedel. Restrained utilization of idleness for transparent scheduling of background tasks. In Proceedings of the joint ACM SIGMETRICS/Performance Conference, pages 205--216, 2009.

Digital Library

Google Scholar

[5]

D. Narayanan, A. Donnelly, and A. I. T. Rowstron. Write off-loading: Practical power management for enterprise storage. In Proceedings of the USENIX Conference on File And Storage Technologies (FAST)), pages 253--267, 2008.

Digital Library

Google Scholar

[6]

E. Pinheiro and R. Bianchini. Energy conservation techniques for disk array-based servers. In Proceedings of the Annual International Conference on Supercomputing (ICS), pages 68--78, 2004.

Digital Library

Google Scholar

[7]

A. Riska and E. Riedel. Disk drive level workload characterization. In Proceedings of the USENIX Annual Technical Conference, pages 97--103, May 2006.

Digital Library

Google Scholar

[8]

Q. Zhu, Z. Chen, L. Tan, Y. Zhou, K. Keeton, and J. Wilkes. Hibernator: helping disk arrays sleep through the winter. In Proceedings of the ACM Symposium on Operating Systems Principles (SOSP), pages 177--190, 2005.

Digital Library

Google Scholar

[9]

Q. Zhu and Y. Zhou. Power-aware storage cache management. IEEE Transactions on Computers, 54(5):587--602, 2005.

Digital Library

Google Scholar

Cited By

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Karakoyunlu CChandy J(2016)Exploiting user metadata for energy-aware node allocation in a cloud storage systemJournal of Computer and System Sciences10.1016/j.jcss.2015.09.00382:2(282-309)Online publication date: 1-Mar-2016
https://dl.acm.org/doi/10.1016/j.jcss.2015.09.003
Song MLee YKim E(2014)Saving disk energy in video servers by combining caching and prefetchingACM Transactions on Multimedia Computing, Communications, and Applications10.1145/253785610:1s(1-21)Online publication date: 5-Jan-2014
https://dl.acm.org/doi/10.1145/2537856
Xu ZLiang W(2013)Minimizing the Operational Cost of Data Centers via Geographical Electricity Price DiversityProceedings of the 2013 IEEE Sixth International Conference on Cloud Computing10.1109/CLOUD.2013.94(99-106)Online publication date: 28-Jun-2013
https://dl.acm.org/doi/10.1109/CLOUD.2013.94
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cover image ACM SIGMETRICS Performance Evaluation Review

ACM SIGMETRICS Performance Evaluation Review Volume 37, Issue 3

December 2009

70 pages

ISSN:0163-5999

DOI:10.1145/1710115

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Association for Computing Machinery

New York, NY, United States

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Published: 21 January 2010

Published in SIGMETRICS Volume 37, Issue 3

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Karakoyunlu CChandy J(2016)Exploiting user metadata for energy-aware node allocation in a cloud storage systemJournal of Computer and System Sciences10.1016/j.jcss.2015.09.00382:2(282-309)Online publication date: 1-Mar-2016
https://dl.acm.org/doi/10.1016/j.jcss.2015.09.003
Song MLee YKim E(2014)Saving disk energy in video servers by combining caching and prefetchingACM Transactions on Multimedia Computing, Communications, and Applications10.1145/253785610:1s(1-21)Online publication date: 5-Jan-2014
https://dl.acm.org/doi/10.1145/2537856
Xu ZLiang W(2013)Minimizing the Operational Cost of Data Centers via Geographical Electricity Price DiversityProceedings of the 2013 IEEE Sixth International Conference on Cloud Computing10.1109/CLOUD.2013.94(99-106)Online publication date: 28-Jun-2013
https://dl.acm.org/doi/10.1109/CLOUD.2013.94
Zhang HYoshihira KSu YJiang GChen MWang XSchmeck HRosenstiel WAbdelzaher THellerstein J(2011)iPOEMProceedings of the 8th ACM international conference on Autonomic computing10.1145/1998582.1998591(41-50)Online publication date: 14-Jun-2011
https://dl.acm.org/doi/10.1145/1998582.1998591
Kaushik RNahrstedt K(2011)Energy-Conservation in Large-Scale Data-Intensive Hadoop Compute ClustersGreen IT: Technologies and Applications10.1007/978-3-642-22179-8_13(245-265)Online publication date: 2011
https://doi.org/10.1007/978-3-642-22179-8_13
Gandhi AGupta VHarchol-Balter MKozuch M(2010)Optimality analysis of energy-performance trade-off for server farm managementPerformance Evaluation10.1016/j.peva.2010.08.00967:11(1155-1171)Online publication date: 1-Nov-2010
https://dl.acm.org/doi/10.1016/j.peva.2010.08.009

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Adaptive, transparent CPU scaling algorithms leveraging inter-node MPI communication regions

Operating regions of PWM rectifier under unbalanced voltage supply

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