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International Conference on Genetic and Evolutionary Computing

ICGEC 2019: Genetic and Evolutionary Computing pp 41–49Cite as

Energy Efficient Container Consolidation Method in Cloud Environment Based on Heuristic Algorithm

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1107))

Abstract

While container-based clouds are increasingly gaining popularity, minimizing the power consumption of the data center is still one of the major challenges for cloud providers. Dynamic consolidation of containers presents a significant opportunity to save energy in data centers and there are researches use optimization metaheuristic algorithm to find a near-optimal solution for this problem. However, the computation time and complexity of such algorithms increase exponentially with the number of containers. In this paper, a heuristic dynamic container consolidation method which consists of four algorithms that solve the problems in different stages of container consolidation has been proposed. We migrate redundant containers from the hosts before they overload and place them to other host to guarantee QoS requirements. An adaptive reserved resources to prevent re-overload of hosts has also been applied. Experimental results demonstrate that our proposed approach can lead to further energy saving with QoS guarantees compared with some existing approaches.

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Acknowledgement

This work was supported by Shenzhen Science and Technology Plan under grant number JCYJ20180306171938767 and the Shenzhen Foundational Research Funding JCYJ20180507183527919.

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Authors and Affiliations

  1. Harbin Institute of Technology, Shenzhen, China

    Linlin Tang & Yao Meng

Authors
  1. Linlin Tang
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  2. Yao Meng
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Corresponding author

Correspondence to Linlin Tang .

Editor information

Editors and Affiliations

  1. College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China

    Jeng-Shyang Pan

  2. Department of Computer Science, Electrical Engineering and Mathematical Sciences, Western Norway University of Applied Sciences, Bergen, Norway

    Jerry Chun-Wei Lin

  3. College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China

    Yongquan Liang

  4. School of Computer Science, Engineering and Mathematics, Flinders University, Bedford Park, Australia

    Shu-Chuan Chu

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Tang, L., Meng, Y. (2020). Energy Efficient Container Consolidation Method in Cloud Environment Based on Heuristic Algorithm. In: Pan, JS., Lin, JW., Liang, Y., Chu, SC. (eds) Genetic and Evolutionary Computing. ICGEC 2019. Advances in Intelligent Systems and Computing, vol 1107. Springer, Singapore. https://doi.org/10.1007/978-981-15-3308-2_5

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