虚拟机可瞬时开启的私有桌面云架构

doi:10.11772/j.issn.1001-9081.2015.11.3059

计算机应用 ›› 2015, Vol. 35 ›› Issue (11): 3059-3062.DOI: 10.11772/j.issn.1001-9081.2015.11.3059

• 2015年全国开放式分布与并行计算学术年会(DPCS 2015)论文 • 上一篇下一篇

虚拟机可瞬时开启的私有桌面云架构

陈鑫¹, 徐义臻¹, 郭禾¹, 于玉龙¹, 罗劼¹, 王宇新²

1. 大连理工大学软件学院, 辽宁大连 116621;
2. 大连理工大学电子信息与电气工程学部, 辽宁大连 116024

收稿日期:2015-06-17 修回日期:2015-07-14 出版日期:2015-11-10 发布日期:2015-11-13
通讯作者: 郭禾(1955-),男,辽宁大连人,教授,博士生导师,CCF会员,主要研究方向:计算机体系结构、并行与分布式计算.
作者简介:陈鑫(1983-),男,辽宁锦州人,讲师,博士,CCF会员,主要研究方向:组合优化、资源调度; 徐义臻(1993-),男,辽宁营口人,硕士研究生,主要研究方向:分布式、云计算; 于玉龙(1985-),男,辽宁沈阳人,博士,CCF会员,主要研究方向:计算机体系结构、并行计算; 罗劼(1990-),男,江西赣州人,硕士研究生,主要研究方向:分布式、云计算; 王宇新(1973-),男,辽宁大连人,副教授,博士,CCF会员,主要研究方向:并行与分布式计算、计算机体系结构.
基金资助:
国家自然科学基金资助项目(61300016).

Private desktop cloud architecture with instant-start virtual machines

CHEN Xin¹, XU Yizhen¹, GUO He¹, YU Yulong¹, LUO Jie¹, WANG Yuxin²

1. School of Software, Dalian University of Technology, Dalian Liaoning 116621, China;
2. Faculty of Electronic Information Electrical Engineering, Dalian University of Technology, Dalian Liaoning 116024, China

Received:2015-06-17 Revised:2015-07-14 Online:2015-11-10 Published:2015-11-13

摘要/Abstract

摘要： 私有桌面云被广泛应用在集中计算、集中管理、远程办公等场景中.现有的私有桌面云多基于OpenStack云操作系统搭建,然而,该操作系统在使用时会出现虚拟机开启时间过长导致用户等待的问题,无法满足某些应用的高实时性要求.对此,使用模板镜像策略和网络连接存储策略作为云存储层解决方案,提出一种虚拟机可瞬时开启(ISVM)的私有桌面云架构.ISVM桌面云架构包括云管理层、云存储层、云服务层.经过测试和分析发现,ISVM私有桌面云架构的虚拟机开启时间约为OpenStack云平台虚拟机开启时间的1/100,达到了毫秒数量级,能够满足应用的实时性要求.

关键词: 桌面云, OpenStack, 云架构, 瞬时开启虚拟机, 存储

Abstract: Private desktop cloud is widely used in various kinds of application scenarios, such as centralized computing, centralized management, and remote office. Existing private clouds are mostly based on OpenStack operating system, however, OpenStack encounters a problem that it takes a long time to start a virtual machine when it is used in private desktop cloud, so it is unable to meet the real-time requirement in some application scenarios. In this paper, using template image strategy and network attached storage strategy for the cloud storage layer, Instant-Start Virtual Machine (ISVM) private desktop cloud architecture was proposed. ISVM private desktop cloud architecture consisted of cloud management layer, cloud storage layer, and cloud service layer. Through testing and analyzing, the time of starting virtual machines in ISVM architecture is about one percent of the time in OpenStack architecture, reaching millisecond order of magnitude and meeting the real-time requirement of some application scenarios.

Key words: desktop cloud, OpenStack, cloud architecture, Instant-Start Virtual Machine (ISVM), storage

中图分类号:

TP311.5

陈鑫, 徐义臻, 郭禾, 于玉龙, 罗劼, 王宇新. 虚拟机可瞬时开启的私有桌面云架构[J]. 计算机应用, 2015, 35(11): 3059-3062.

CHEN Xin, XU Yizhen, GUO He, YU Yulong, LUO Jie, WANG Yuxin. Private desktop cloud architecture with instant-start virtual machines[J]. Journal of Computer Applications, 2015, 35(11): 3059-3062.

参考文献

[1] SEFRAOUI O, AISSAOUI M, ELEULDJ M. OpenStack: toward an open-source solution for cloud computing[J]. International Journal of Computer Applications, 2012,55(3):38-42.
[2] LIN L, SHI W. Survey of open source software for building cloud computing platforms[J]. Computer Science,2012,39(11):1-7.(林利,石文昌.构建云计算平台的开源软件综述[J].计算机科学,2012,39(11):1-7.)
[3] KUMAR R, GUPTA N, CHARU S, et al. Open source solution for cloud computing platform using OpenStack[J]. International Journal of Computer Science and Mobile Computing, 2014, 3(5): 89-98.
[4] ZHAO S, LI L, LING X, et al. Architecture and scheduling scheme design of TsinghuaCloud based on OpenStack[J]. Journal of Computer Applications,2013,33(12):3335-3338.(赵少卡,李立耀,凌晓,等. 基于OpenStack的清华云平台构建与调度方案设计[J]. 计算机应用,2013,33(12):3335-3338.)
[5] LI X, LI L, JIN L, et al. Construction of private cloud computing platform based on OpenStack[J]. Telecommunications Science, 2012,28(9):1-8.(李小宁,李磊,金连文,等. 基于OpenStack构建私有云计算平台[J]. 电信科学,2012,28(9):1-8.)
[6] GIRISH L S, GURUPRASAD H S. Building private cloud using OpenStack[J]. International Journal of Emerging Trends & Technology in Computer Science, 2014, 3(3): 142-145.
[7] ZHANG J, ZHANG J, DING H, et al. Designing and applying an education IaaS system based on OpenStack[J]. Applied Mathematics and Information Sciences, 2013, 7(1): 155-160.
[8] Moose File System [EB/OL].[2015-01-22].http://en.wikipedia.org/wiki/Moose_File_System.
[9] MENASCÈ D A. Virtualization: Concepts, applications, and performance modeling[C]// Proceedings of the 31th International Computer Measurement Group Conference. Piscataway: IEEE, 2005: 407-414.
[10] FENG D, ZHANG M, ZHANG Y, et al. Study on cloud computing security[J]. Journal of Software,2011,22(1):71-83.(冯登国,张敏,张妍,等. 云计算安全研究[J]. 软件学报,2011,22(1):71-83.)
[11] YAN L. Development and application of desktop virtualization technology[C]// Proceedings of the 2011 IEEE 3rd International Conference on Communication Software and Networks. Piscataway: IEEE, 2011: 326-329.

[1]	廖佳, 陈扬, 包秋兰, 廖雪花, 朱洲森. 计算密集型大流量数据的接力计算与动态分流处理[J]. 计算机应用, 2021, 41(9): 2646-2651.
[2]	卿欣艺, 陈玉玲, 周正强, 涂园超, 李涛. 基于中国剩余定理的区块链存储扩展模型[J]. 计算机应用, 2021, 41(7): 1977-1982.
[3]	李静, 罗金飞, 李炳超. 主动容错副本存储系统的可靠性分析模型[J]. 计算机应用, 2021, 41(4): 1113-1121.
[4]	李秀艳, 刘明曦, 史闻博, 董国芳. 面向资源受限用户的高效动态数据审计方案[J]. 计算机应用, 2021, 41(2): 422-432.
[5]	董豪宇, 陈康. 纯用户态的网络文件系统——RUFS[J]. 计算机应用, 2020, 40(9): 2577-2585.
[6]	赵羽龙, 牛保宁, 李鹏, 樊星. 区块链增强型轻量级节点模型[J]. 计算机应用, 2020, 40(4): 942-946.
[7]	唐鑫, 周琳娜. 基于响应模糊化的抗附加块攻击云数据安全去重方法[J]. 计算机应用, 2020, 40(4): 1085-1090.
[8]	拜亚萌, 满君丰, 张宏. 基于区块链的电子健康记录安全存储模型[J]. 计算机应用, 2020, 40(4): 961-965.
[9]	贺庆建, 蔡涛, 王杰, 牛德姣. 面向NVM存储系统的快速文件访问系统[J]. 计算机应用, 2020, 40(2): 541-546.
[10]	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.
[11]	王成, 叶保留, 梅峰, 卢文达. 基于远程直接内存访问的高性能键值存储系统[J]. 计算机应用, 2020, 40(2): 316-320.
[12]	付伟, 顾晨阳, 高强. 基于属性加密的多用户共享ORAM方案[J]. 计算机应用, 2020, 40(2): 497-502.
[13]	董聪, 张晓, 程文迪, 石佳. 基于新型存储器件的分布式文件系统性能优化[J]. 计算机应用, 2020, 40(12): 3594-3603.
[14]	杨程, 陆佳民, 冯钧. 分布式环境下大规模资源描述框架数据划分方法综述[J]. 计算机应用, 2020, 40(11): 3184-3191.
[15]	张航, 刘善政, 唐聃, 蔡红亮. 分布式存储系统中的低修复成本纠删码[J]. 计算机应用, 2020, 40(10): 2942-2950.

虚拟机可瞬时开启的私有桌面云架构

Private desktop cloud architecture with instant-start virtual machines

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