NDLI: Evaluating the Energy Efficiency of Data Management Systems

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Evaluating the Energy Efficiency of Data Management Systems

Content Provider	IEEE Xplore Digital Library
Author	Niemann, R. Ivanov, T.
Copyright Year	2015
Description	Author affiliation: Inst. for Inf. & Math., Goethe Univ. Frankfurt, Frankfurt am Main, Germany (Ivanov, T.) \|\| Inst. of Inf. Syst., Univ. of Appl. Sci. Hof, Hof, Germany (Niemann, R.)
Abstract	Nowadays developers and end users of data management systems are challenged with the reduction of the "energy consumption footprint" of existing implementations and configurations. In other words, the energy efficiency has to be optimized, either by increasing the performance or by consuming less resources. In fact, there is a big number of factors that influence the performance and energy efficiency of a particular data management system. For example, the replacement of hardware components or the surrounding operating system can have a significant impact. Both developers and end users put much effort into finding performance "bottlenecks", better hardware resource utilization and configurations. Besides, when it comes to a scale-out scenario, end users often face the situation to find a hardware configuration that offers both a reasonable performance and energy consumption, i.e. A resource planning. This paper proposes a new approach to evaluate the performance of a data management system and the impact on the energy efficiency with the goal to optimize it. The approach introduces a Queued Petri Nets model, whose simulation runs are intended to drastically reduce the investments, both in time and hardware, compared to traditional ways, for example regression and compatibility tests. The model's prediction in terms of performance and energy efficiency were evaluated and compared to the actual experimental results. On average the predicted and experimental results (response time and energy efficiency) differ by 24 percent.
Starting Page	22
Ending Page	28
File Size	190739
Page Count	7
File Format	PDF
ISBN	9781467370493
DOI	10.1109/GREENS.2015.11
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-18
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Energy consumption Operating systems Petri nets Data management system Queued Petri Nets Benchmark testing Data models Hardware Energy efficiency Servers Performance
Content Type	Text
Resource Type	Article

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