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Adaptive global power optimization for Web servers

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Abstract

This work investigates power and performance trade-offs for Web servers on a state-of-the-art, high-density, power-efficient SeaMicro SM15k cluster by AMD. We relied on the concept of virtual power states (VPSs), a combination of CPU utilization rate to the P/C power states available in modern processors, and on our global optimization algorithm called Slack Recovery, to deploy an adaptive global power management system in a production environment. The main contributions of this paper are twofold. First, it presents the Slack Recovery algorithm deployed on a real cluster, composed of 25 SeaMicro nodes. The algorithm finds a P-state and a utilization rate for each CPU node to minimize power under a minimum performance requirement. Second, it proposes a novel mechanism to control utilization rates in each server, a key aspect on our power/performance optimization system which enables the implementation of the VPS concept in practice. Experimental results show that our Slack Recovery-based system can reduce up to 6.7 % of the power consumption when compared to policies usually deployed in SeaMicro production systems.

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Acknowledgments

Financial support for this study was provided by the Grant 2010/05389-5 from Sao Paulo Research Foundation (FAPESP) and AMD Research.

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Authors and Affiliations

  1. Institute of Computing, University of Campinas (UNICAMP), Av. Albert Einstein, 1251, Cidade Universitaria, Campinas, SP, 13083-852, Brazil

    Leonardo Piga, Reinaldo A. Bergamaschi & Sandro Rigo

  2. Advanced Micro Devices, 7171 Southwest Pkwy, Austin, TX, 78735, USA

    Mauricio Breternitz

Authors
  1. Leonardo Piga
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  2. Reinaldo A. Bergamaschi
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  3. Mauricio Breternitz
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  4. Sandro Rigo
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Correspondence to Leonardo Piga.

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Piga, L., Bergamaschi, R.A., Breternitz, M. et al. Adaptive global power optimization for Web servers. J Supercomput 68, 1088–1112 (2014). https://doi.org/10.1007/s11227-014-1141-x

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