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Received:March 10, 2020 Revised:April 10, 2020
Received:March 10, 2020 Revised:April 10, 2020
中文摘要: RDMA网络具有高带宽，低延时，低CPU负载的特点，广泛应用于数据密集型任务中，例如深度学习，高性能计算，数据分析等.RDMA的实现需要软硬件支持，在云环境下，RDMA虚拟化方案有助于多用户共享RDMA网络传输的高性能，同时实现对RDMA网络的统一管理和控制.本文调研了近年来的RDMA虚拟化解决方案，覆盖了虚拟机和容器环境；然后将这些解决方案进行分类和比较；最后，对RDMA虚拟化中存在的问题和未来的发展做出了总结和展望.
Abstract:RDMA networks have the characteristics of high bandwidth, low latency, and low CPU load, and are used in a wide range of data-intensive tasks, such as deep learning, high-performance computing, and data analysis. The imple-mentation of RDMA requires software and hardware support. In a cloud environment, the RDMA virtualization solutions help multiple users to share the high performance of RDMA network, while achieving unified management of RDMA networks. In this study, solutions of RDMA virtualization in recent years are collected, which cover virtual ma-chines and container environments. Then, these solutions are classified and compared. Finally, the existing problems and future development in RDMA virtualization are analyzed.
keywords: RDMA virtualization cloud computing
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基金项目:国家自然科学基金（61672160）
引用文本：
代超,刘强,蒋金虎,张为华.RDMA虚拟化相关技术研究.计算机系统应用,2020,29(10):1-8
DAI Chao,LIU Qiang,JIANG Jin-Hu,ZHANG Wei-Hua.Survey on RDMA Virtualization Technology.COMPUTER SYSTEMS APPLICATIONS,2020,29(10):1-8
代超,刘强,蒋金虎,张为华.RDMA虚拟化相关技术研究.计算机系统应用,2020,29(10):1-8
DAI Chao,LIU Qiang,JIANG Jin-Hu,ZHANG Wei-Hua.Survey on RDMA Virtualization Technology.COMPUTER SYSTEMS APPLICATIONS,2020,29(10):1-8
