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Short Paper

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

Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
School of Information Science and Technology, Northeast Normal University, Changchun 130117, China
Faculty of Science and Technology, University of Macau, Macau 999078, China
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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.

Keywords

workload characterizationcontainerco-location patternhardware performance counter

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Journal of Computer Science and Technology
Volume 35 Issue 2,
March 2020
Pages 412-417
DOI: 10.1007/s11390-020-9707-y
Cite this article:
Chen W-Y, Ye K-J, Lu C-Z, et al. Interference Analysis of Co-Located Container Workloads: A Perspective from Hardware Performance Counters. Journal of Computer Science and Technology, 2020, 35(2): 412-417. https://doi.org/10.1007/s11390-020-9707-y

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Received: 10 May 2019
Revised: 06 February 2020
Published: 27 March 2020
©Institute of Computing Technology, Chinese Academy of Sciences 2020
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