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.

中文翻译：

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Co-Located Container Workloads 的干扰分析：从硬件性能计数器的角度来看

工作负载表征对于资源管理和调度至关重要。近年来，随着容器技术的飞速发展，越来越多的云服务商如谷歌、阿里巴巴等采用容器来提供云服务，因为成本低。然而，在容器中运行的协同定位的多样化服务（例如，交互式在线服务、离线计算服务）的特征仍然不清楚。在本文中，我们从硬件事件的角度对在同一服务器上的容器中运行的协同定位工作负载的特征进行了全面分析。我们的研究从微架构级别量化并揭示了当工作负载以不同的托管模式运行时的系统行为。通过对典型硬件事件的分析，