云计算虚拟化技术的发展与趋势

doi:10.11772/j.issn.1001-9081.2017.04.0915

计算机应用 ›› 2017, Vol. 37 ›› Issue (4): 915-923.DOI: 10.11772/j.issn.1001-9081.2017.04.0915

• 大数据与云计算及其应用 • 下一篇

云计算虚拟化技术的发展与趋势

武志学^1,2

1. 成都五舟汉云科技有限公司, 成都 611731;
2. 成都信息工程大学信息安全工程学院, 成都 610225

收稿日期:2016-10-18 修回日期:2017-01-06 出版日期:2017-04-10 发布日期:2017-04-19
通讯作者: 武志学
作者简介:武志学(1960-),男,山西河津人,教授,博士,主要研究方向:云计算、流式数据处理、数据挖掘。

Advances on virtualization technology of cloud computing

WU Zhixue^1,2

1. Chengdu Wuzhou Handge Technology Limited, Chengdu Sichuan 611731, China;
2. School of Information Security Engineering, Chengdu University of Information Technology, Chengdu Sichuan 610225, China

Received:2016-10-18 Revised:2017-01-06 Online:2017-04-10 Published:2017-04-19

摘要/Abstract

摘要： 云计算是一种融合了多项计算机技术的以数据和处理能力为中心的密集型计算模式，其中以虚拟化、分布式数据存储、分布式并发编程模型、大规模数据管理和分布式资源管理技术最为关键。经过十多年的发展，云计算技术已经从发展培育期步入快速成长期，越来越多的企业已经开始使用云计算服务。与此同时，云计算的核心技术也在发生着巨大的变化，新一代的技术正在改进甚至取代前一代技术。容器虚拟化技术以其轻便、灵活和快速部署等特性对传统的基于虚拟机的虚拟化技术带来了颠覆性的挑战，正在改变着基础设施即服务（IaaS）平台和平台即服务（PaaS）平台的架构和实现。对容器虚拟化技术进行深入介绍，并通过分析和比较阐述容器虚拟化技术和虚拟机虚拟化技术各自的优势、适应场景和亟待解决的问题，然后对云计算虚拟化技术的下一步研究方向和发展趋势进行展望。

关键词: 云计算, 虚拟化, Docker, 容器, 虚拟机

Abstract: Cloud computing is a new computing model focused on the capability of data and its processing. It integrates a number of information and communication technologies, including virtualization, distributed data storage, distributed parallel programming model, big data management and distributed resource management. After more than a decade of development, cloud computing has entered a rapid growth period, more and more enterprises have adapted to cloud computing services. At the same time, the key technologies of cloud computing have advanced as well. The new generation technologies are enhancing and even replacing the existing technologies. Container is a new type virtualization technology. With its lightweight, elastic and fast advantages, container challenges the traditional virtual machine technology, and brings changes to the architecture and implementation of both the Infrastructure as a Service (IaaS) and Platform as a Service (PaaS). Container virtualization technology was described in detail, the advantages and disadvantages, the suitable use cases of container and virtual machine technology were compared and analyzed, then the future research directions and development trends of cloud computing virtualization technology were prospected.

Key words: cloud computing, virtualization, Docker, container, virtual machine

中图分类号:

TP391

武志学. 云计算虚拟化技术的发展与趋势[J]. 计算机应用, 2017, 37(4): 915-923.

WU Zhixue. Advances on virtualization technology of cloud computing[J]. Journal of Computer Applications, 2017, 37(4): 915-923.

参考文献

[1] 杨保华, 戴王剑, 曹亚仑. Docker技术入门与实战[M]. 北京:机械工业出版社, 2015:1-15.(YANG B H, DAI W J, CAO Y L. Docker Technology Introduction and Actual Combat[M]. Beijing: China Machine Press, 2015:1-15.)
[2] PLANK J S. Erasure codes for storage systems: a brief primer[J].;login:the magazine of USENIX & SAGE, 2013, 38(6): 44-50.
[3] BELL J. Apache spark[EB/OL].[2016-03-10]. http://onlinelibrary.wiley.com/doi/10.1002/9781119183464.ch11/summary.
[4] 从容器和Kubernetes技术看现代云计算的发展轨迹[EB/OL].[2016-10-16]. http://dockone.io/article/140. (The development track of modern cloud computing from container and Kubernetes Technology[EB/OL].[2016-10-16]. http://dockone.io/article/140.)
[5] 武志学. 云计算导论:概念架构与应用[M]. 北京:人民邮电出版社, 2016:43-52.(WU Z X. Introduction to Cloud Computing: Concepts Frameworks and Applications[M]. Beijing: Posts and Telecom Press, 2016:43-52.)
[6] IBM虚拟化与云计算小组. 虚拟化与云计算[M]. 北京:电子工业出版社, 2010.(IBM virtualization and cloud computing group. Virtualization and Cloud Computing[M]. Beijing: Publishing House of Electronics Industry, 2010.)
[7] PRATT I, FRASER K, HAND S, et al. Xen 3.0 and the art of virtualization[J]. Proceedings of the Ottawa Linux Symposium, 2005, 36(5):164-177.
[8] 马博峰. VMware、Citrix和Microsoft虚拟化技术详解与应用实践[M]. 北京:机械工业出版社, 2013.(MA B F. VMware, Citrix and Microsoft Virtualization Technology Explanation and Application Practice[M]. Beijing: China Machine Press, 2013.)
[9] KIVITY A, KAMAY Y, LAOR D, et al. KVM: the Linux virtual machine monitor[EB/OL].[2016-03-10]. https://www.kernel.org/doc/ols/2007/ols2007v1-pages-225-230.pdf.
[10] ROSEN R. Linux Kernel Networking: Implementation and Theory[M]. Berkeley: Apress, 2014:405-482.
[11] 汪恺, 张功萱, 周秀敏. 基于容器虚拟化技术研究[J]. 计算机技术与发展, 2015, 25(8):138-141.(WANG K, ZHANG G X, ZHOU X M. Research on virtualization technology based on container[J]. Computer Technology and Development, 2015, 25(8):138-141.)
[12] What is docker[EB/OL].[2016-10-15]. https://www.docker.com.
[13] MERKEL D. Docker: lightweight Linux containers for consistent development and deployment[J]. Linux Journal, 2014, 2014(239): Article No. 2.
[14] Docker v1.10正式版发布[Z/OL].[2016-03-10]. https://www.oschina.net/news/70489/docker-1-10-0-final. (Docher v1.10 official version[Z/OL].[2016-03-10]. https://www.oschina.net/news/70489/docker-1-10-0-final.)
[15] BIEDERMAN E W. Multiple instances of the global Linux namespaces[EB/OL].[2016-03-10]. https://www.landley.net/kdocs/ols/2006/ols2006v1-pages-101-112.pdf.
[16] WRIGHT C P, ZADOK E. Kernel korner-unionfs: bringing filesystems together[J]. Linux Journal, 2004,2004(128):24-27.
[17] PIRAGHAJ S F, DASTJERDI A V, CALHEIROS R N, et al. Efficient virtual machine sizing for hosting containers as a service (SERVICES 2015)[C]//Proceedings of the 2015 IEEE World Congress on Services. Piscataway, NJ: IEEE, 2015:31-38.
[18] 王亚玲, 李春阳, 崔蔚, 等.基于Docker的PaaS平台建设[J]:计算机系统应用, 2016, 25(3):72-77.(WANG Y L, LI C Y, CUI W, et al. Construction of PaaS platform based on Docker[J]. Computer Application Systems, 2016, 25(3):72-77.)
[19] FELTER W, FERREIRA A, RAJAMONY R, et al. An updated performance comparison of virtual machines and Linux containers[C]//Proceedings of the 2015 IEEE International Symposium on Performance Analysis of Systems and Software. Washington, DC: IEEE Computer Society, 2015:171-172.
[20] Docker support in XenServer, the ultimate guide[Z/OL].[2016-12-16]. https://xen-orchestra.com/blog/docker-support-in-xenserver-the-ultimate-guide/.
[21] vSphere integrated containers-technology walkthrough[Z/OL].[2016-12-16]. https://blogs.vmware.com/vsphere/2015/10/vsphere-integrated-containers-technology-walkthrough.html.
[22] Docker containers coming to a Microsoft or Linux server near you[Z/OL].[2014-10-15]. https://msopentech.com/blog/2014/10/15/docker-containers-coming-microsoft-linux-server-near/.
[23] Docker containers performance in VMware vSphere[Z/OL].[2016-12-22]. http://blogs.vmware.com/performance/2014/10/docker-containers-performance-vmware-vsphere.html.

云计算虚拟化技术的发展与趋势

Advances on virtualization technology of cloud computing

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

[1]	陈家豪, 殷新春. 基于云雾计算的可追踪可撤销密文策略属性基加密方案[J]. 计算机应用, 2021, 41(6): 1611-1620.
[2]	葛丽娜, 胡雨谷, 张桂芬, 陈园园. 云计算环境基于客体属性匹配的逆向混合访问控制方案[J]. 计算机应用, 2021, 41(6): 1604-1610.
[3]	尹飞, 龙玲莉, 孔峥, 邵涵, 李鑫, 钱柱中. 面向动态负载的集群容器部署方法[J]. 计算机应用, 2021, 41(6): 1581-1588.
[4]	杨翎, 姜春茂. 基于三支决策的虚拟机节能迁移策略[J]. 计算机应用, 2021, 41(4): 990-998.
[5]	孙晓玲, 杨光, 沈焱萍, 杨秋格, 陈涛. 基于可拆分倒排索引的可搜索加密方案[J]. 《计算机应用》唯一官方网站, 2021, 41(11): 3288-3294.
[6]	陈港, 孟相如, 康巧燕, 阳勇. 基于拓扑分割与聚类分析的虚拟软件定义网络映射算法[J]. 《计算机应用》唯一官方网站, 2021, 41(11): 3309-3318.
[7]	吕佳玉, 竺智荣, 姚志强. 云计算环境下的双通道数据动态加密策略[J]. 计算机应用, 2020, 40(8): 2268-2273.
[8]	蔡豪, 袁正道. 云数据中心基于贪心模式的虚拟机选择算法[J]. 计算机应用, 2020, 40(6): 1707-1713.
[9]	陈程军, 毛莺池, 王绎超. 基于激活-熵的分层迭代剪枝策略的CNN模型压缩[J]. 计算机应用, 2020, 40(5): 1260-1265.
[10]	郭曙杰, 李志华, 蔺凯青. 云环境下基于模糊隶属度的虚拟机放置算法[J]. 计算机应用, 2020, 40(5): 1374-1381.
[11]	赵季红, 吴豆豆, 曲桦, 殷振宇. 基于软件定义网络的可靠性虚拟网络映射保障机制[J]. 计算机应用, 2020, 40(3): 770-776.
[12]	许英鑫, 孙磊, 赵建成, 郭松辉. 基于蚁群优化算法的虚拟现场可编程门阵列部署策略[J]. 计算机应用, 2020, 40(3): 747-752.
[13]	王庆永, 毛莺池, 王绎超, 王龙宝. 基于多微云协作的计算任务卸载[J]. 计算机应用, 2020, 40(2): 328-334.
[14]	刘福鑫, 李劲巍, 王熠弘, 李琳. 基于Kubernetes的云原生海量数据存储系统设计与实现[J]. 计算机应用, 2020, 40(2): 547-552.
[15]	杨哂哂, 吴慧珍, 庄黎丽, 吕宏武. 基于Markov过程的IaaS系统可用性建模与分析方法[J]. 计算机应用, 2020, 40(10): 3013-3018.