Hound:a parallel image distribution system for cluster based on Docker  

作　　者：LIU Zijie LI Junjiang CHEN Can ZHANG Dengyin 

机构地区：[1]School of Internet of Things,Nanjing University of Posts and Telecommunications,Nanjing 210003,China [2]Jiangsu Key Laboratory of Broadband Wireless Communication and Internet of Things,Nanjing University of Posts and Telecommunications,Nanjing 210003,China [3]College of Telecommunications&Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China

出　　处：《Journal of Systems Engineering and Electronics》2023年第4期955-965,共11页系统工程与电子技术（英文版）

基　　金：supported by the National Natural Science Foundation of China(61872423);Industry Prospective Primary Research&Development Plan of Jiangsu Province(BE2017111);the Scientific Research Foundation of the Higher Education Institutions of Jiangsu Province(19KJA180006);the Postgraduate Research&Practice Innovation Program of Jiangsu Province(KYCX20_0764)。

摘　　要：Current applications,consisting of multiple replicas,are packaged into lightweight containers with their execution dependencies.Considering the dominant impact of distribution efficiency of gigantic images on container startup(e.g.,distributed deep learning application),the image“warm-up”technique which prefetches images of these replicas to destination nodes in the cluster is proposed.However,the current image“warm-up”technique solely focuses on identical image distribution,which fails to take effect when distributing different images to destination nodes.To address this problem,this paper proposes Hound,a simple but efficient cluster image distribution system based on Docker.To support diverse image distribution requests of cluster nodes,Hound additionally adopts node-level parallelism(i.e.,downloading images to destination nodes in parallel)to further improve the efficiency of image distribution.The experimental results demonstrate Hound outperforms Docker,kubernetes container runtime interface(CRI-O),and Docker-compose in terms of image distribution performance when cluster nodes request different images.Moreover,the high scalability of Hound is evaluated in the scenario of ten nodes.

关 键 词：container image image distribution PARALLELISM CONTAINERIZATION 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]