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

作　　者：Wen-Yan Chen Ke-Jiang Ye Cheng-Zhi Lu Dong-Dai Zhou Cheng-Zhong Xu 

机构地区：[1]Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences,Shenzhen 518055,China [2]School of Information Science and Technology,Northeast Normal University,Changchun 130117,China [3]Faculty of Science and Technology,University of Macao,Macao 999078,China

出　　处：《Journal of Computer Science & Technology》2020年第2期412-417,共6页计算机科学技术学报（英文版）

基　　金：This work is supported by the National Key Research and Development Program of China under Grant No.2018YFB1004804;the National Natural Science Foundation of China under Grant No.61702492;the Shenzhen Basic Research Program under Grant Nos.JCYJ20170818153016513 and JCYJ20170307164747920,and Alibaba Innovative Research(AIR)Project.

摘　　要：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.

关 键 词：WORKLOAD characterization CONTAINER CO-LOCATION pattern HARDWARE performance COUNTER 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]