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A Comprehensive Evaluation Method for Container Auto-Scaling Algorithms on Cloud

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Computer Supported Cooperative Work and Social Computing (ChineseCSCW 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1330))

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Abstract

Container technology becomes increasingly popular in public cloud platforms. Although many Container Auto-Scaling Algorithms (CASAs) have been proposed recently, there is still a lack of standardized frameworks to evaluate them comprehensively. This paper proposes a comprehensive evaluation method for CASAs. We firstly proposed a set of CASA evaluation metrics considering the requirements of cloud provider and user, and then designed a test data set based on real-world system load traces and 6 workload patterns. Experiments on some representative CASAs are conducted to demonstrate the effectiveness of the proposed evaluation method. Our research can provide cloud providers, operators and users with more comprehensive and systematic information about CASAs.

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Acknowledgments

This work is Supported by the National Key Research and Development Program of China under Grant No. 2017YFB0202201; the National Natural Science Foundation of China (NSFC) under Grant No. 61972427; the NSFC-Guangdong Joint Fund Project under Grant No. U1911205; the Research Foundation of Science and Technology Plan Project in Guangdong Province under Grant No. 2020A0505100030.

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Authors and Affiliations

  1. School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China

    Jingxuan Xie, Shubo Zhang, Maolin Pan & Yang Yu

Authors
  1. Jingxuan Xie
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  2. Shubo Zhang
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  3. Maolin Pan
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  4. Yang Yu
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Corresponding author

Correspondence to Yang Yu .

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Editors and Affiliations

  1. Shandong University, Jinan, China

    Yuqing Sun

  2. Guangdong University of Technology, Guangzhou, China

    Dongning Liu

  3. Shenzhen University, Shenzhen, China

    Hao Liao

  4. Tongji University, Shanghai, China

    Hongfei Fan

  5. University of Shanghai for Science and Technology, Shanghai, China

    Liping Gao

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Xie, J., Zhang, S., Pan, M., Yu, Y. (2021). A Comprehensive Evaluation Method for Container Auto-Scaling Algorithms on Cloud. In: Sun, Y., Liu, D., Liao, H., Fan, H., Gao, L. (eds) Computer Supported Cooperative Work and Social Computing. ChineseCSCW 2020. Communications in Computer and Information Science, vol 1330. Springer, Singapore. https://doi.org/10.1007/978-981-16-2540-4_45

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  • DOI: https://doi.org/10.1007/978-981-16-2540-4_45

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-2539-8

  • Online ISBN: 978-981-16-2540-4

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