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Energy Efficiency: The New Holy Grail of Data Management Systems Research

Energy Efficiency: The New Holy Grail of Data Management Systems Research,Computing Research Repository,Stavros Harizopoulos,Mehul A. Shah,Parthasarat

Energy Efficiency: The New Holy Grail of Data Management Systems Research   (Citations: 12)
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Energy costs are quickly rising in large-scale data centers and are soon projected to overtake the cost of hardware. As a result, data center operators have recently started turning into using more energy-friendly hardware. Despite the growing body of research in power management techniques, there has been little work to date on energy efficiency from a data management software per- spective. In this paper, we argue that hardware-only approaches are only part of the solution, and that data management software will be key in optimizing for energy efficiency. We discuss the problems arising from growing energy use in data centers and the trends that point to an increasing set of opportunities for software-level optimizations. Using two simple experiments, we illustrate the potential of such optimizations, and, motivated by these exam- ples, we discuss general approaches for reducing energy waste. Lastly, we point out existing places within database systems that are promising for energy-efficiency optimizations and urge the data management systems community to shift focus from perfor- mance-oriented research to energy-efficient computing.
Journal: Computing Research Repository - CORR , vol. abs/0909.1, 2009
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    • ...He also presented challenges to be addressed regarding some components in database systems such as the query optimizer, the query scheduler, and so on. In [6], Harizopoulos et. al. pointed out that hardware-based power saving alone was not enough for power saving of database servers and that refinements of database systems were required...

    Yuto Hayamizuet al. Application-Aware Power Saving for Online Transaction Processing Using...

    • ...Consequently, to increase energy efficiency, previous work recommends increasing system utilization through mechanisms such as application consolidation [14], or through runtime optimizations to reduce pertask energy consumption (e.g., [15])...
    • ...This trend opens new opportunities for energy efficiency for the software stack: it enables shifting work from the most energy efficient component (most power proportional) of a computer system to the less energy efficient component (e.g., from disk to CPU) to reduce the total volume of energy consumed for a specific task [14]...

    Lauro Beltrao Costaet al. Assessing data deduplication trade-offs from an energy and performance...

    • ...Energy-related issues have been addressed by various researchers ranging from the architecture and power management communities to the data management and software systems groups [11]...

    Cinzia Cappielloet al. Business process co-design for energy-aware adaptation

    • ...centres are often provisioned to handle sporadic peak loads, which can result in low resource utilization [15] and wastage of energy [12]...

    Anne-Cécile Orgerieet al. Energy Aware Clouds

    • ...In the database software field, there have only been a few preliminary studies in this direction [4, 8, 9, 11, 20]...
    • ...Recent work has speculated that some of these knobs may be promising [4, 8], and others have shown specific cases where energy efficiency is improved [11, 9, 20] at the expense of performance...
    • ...Our results come in direct contrast to recent work [8, 9, 20] that has suggested that energy efficiency and performance are often two different optimization goals...
    • ...Recent work has suggested that to find plans that achieve improved energy efficiency, we will need to redesign optimizers to model energy costs and re-target their plan selection criteria [8, 9]. In this section, we test this assumption by measuring the energy efficiency of a wide range of queries that exercise all components of a database server...
    • ...These results contradict the recent speculation about the need and opportunity for DBMS software to optimize for energy efficiency apart fromperformance[4, 8], andalsocontradictrecentworkthatagrees with this speculation [9, 11, 20]...

    Dimitris Tsirogianniset al. Analyzing the energy efficiency of a database server

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