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Frequency Selection Approach for Energy Aware Cloud Database

Guo, Chaopeng and Pierson, Jean-Marc Frequency Selection Approach for Energy Aware Cloud Database. (2019) In: 30th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2018), 24 September 2018 - 27 September 2018 (Lyon, France).

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Official URL: https://doi.org/10.1109/CAHPC.2018.8645884

Abstract

A lot of cloud systems are adopted in industry and academia to face the explosion of the data volume and the arrival of the big data era. Meanwhile, energy efficiency and energy saving become major concerns for data centers where massive cloud systems are deployed. However, energy waste is quite common due to resource over-provisioning. In this paper, using Dynamic Voltage and Frequency Scaling (DVFS), a frequency selection approach is introduced to improve the energy efficiency of cloud systems in terms of resource over-provisioning. In the approach, two algorithms, Genetic Algorithm (GA) and Monte Carlo Tree Search Algorithm (MCTS), are proposed. Cloud database system is taken as an example to evaluate the approach. The results of the experiments show that the algorithms have great scalability which can be applied to a 120-nodes case with high accuracy compared to optimal solutions (up to 99.9% and 99.6% for GA and MCTS respectively). According to an optimality bound analysis, 21 % of energy can be saved at most using our frequency selection approach.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to IEEE editor. The definitive version is available at http://ieeexplore.ieee.org This papers appears in Proceedings of SBAC-PAD 2018 Electronic ISBN: 978-1-5386-7769-8 ISSN: 1550-6533 The original PDF of the article can be found at: https://ieeexplore.ieee.org/document/8645884 Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
HAL Id:hal-02181914
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
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Deposited On:27 May 2019 11:40

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