Evaluation of Advanced Data Centre Power Management Strategies

Björn F. Postema (Corresponding Author), Boudewijn R. Haverkort (Corresponding Author)

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    5 Citations (Scopus)
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    In recent work, we proposed a new specification language for power management strategies as an extension to our AnyLogic-based simulation framework for the trade-off analysis of power and performance in data centres. In this paper, we study the quality of such advanced power management strategies based on both power and performance measurement data collected during system operation. These strategies take a wide variety of state variables into account. In order to ensure the quality of new strategies, they are studied for stability, efficiency, adaptability and robustness; these qualities will be formally defined. This paper presents an evaluation approach for these qualities for several power management strategies inspired by strategies presented in the literature (and extensions thereof). We show that the choice of power management strategy depends both on which qualities are given the highest priority and on the used state information. The new power management strategies show significant reductions in energy consumption in our case of up to 54% energy (compared to an “always on” strategy) for a typical data centre workload for a small 30-server cluster.

    Original languageEnglish
    Pages (from-to)173-191
    Number of pages19
    JournalElectronic notes in theoretical computer science
    Publication statusPublished - 9 May 2018
    Event9th International Workshop on the Practical Application of Stochastic Modelling, PASM 2017 - Berlin, Germany
    Duration: 9 Sep 20179 Sep 2017
    Conference number: 9


    • Adaptability
    • Agent-based simulation
    • Data centre
    • Discrete-event simulation
    • Efficiency
    • Evaluation
    • Power management
    • Qualities
    • Robustness
    • Stability
    • Strategies


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