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Interference Analysis of Co-Located Container Workloads: A Perspective from Hardware Performance Counters

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Abstract

Workload characterization is critical for resource management and scheduling. Recently, with the fast development of container technique, more and more cloud service providers like Google and Alibaba adopt containers to provide cloud services, due to the low overheads. However, the characteristics of co-located diverse services (e.g., interactive on-line services, off-line computing services) running in containers are still not clear. In this paper, we present a comprehensive analysis of the characteristics of co-located workloads running in containers on the same server from the perspective of hardware events. Our study quantifies and reveals the system behavior from the micro-architecture level when workloads are running in different co-location patterns. Through the analysis of typical hardware events, we provide recommended/unrecommended co-location workload patterns which provide valuable deployment suggestions for datacenter administrators.

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Authors and Affiliations

  1. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China

    Wen-Yan Chen, Ke-Jiang Ye & Cheng-Zhi Lu

  2. School of Information Science and Technology, Northeast Normal University, Changchun, 130117, China

    Dong-Dai Zhou

  3. Faculty of Science and Technology, University of Macau, Macau, 999078, China

    Cheng-Zhong Xu

Authors
  1. Wen-Yan Chen
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  2. Ke-Jiang Ye
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  3. Cheng-Zhi Lu
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  4. Dong-Dai Zhou
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  5. Cheng-Zhong Xu
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Corresponding author

Correspondence to Ke-Jiang Ye.

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Chen, WY., Ye, KJ., Lu, CZ. et al. Interference Analysis of Co-Located Container Workloads: A Perspective from Hardware Performance Counters. J. Comput. Sci. Technol. 35, 412–417 (2020). https://doi.org/10.1007/s11390-020-9707-y

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  • DOI: https://doi.org/10.1007/s11390-020-9707-y

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