[1]姚捃,严南.OpenStack 高可用分布式存储方案设计与实现[J].计算机技术与发展,2019,29(02):35-38.[doi:10.3969/j.issn.1673-629X.2019.02.007]
 YAO Jun,YAN Nan.Design and Implementation of High Available Distributed Storage Scheme Based on OpenStack[J].,2019,29(02):35-38.[doi:10.3969/j.issn.1673-629X.2019.02.007]
点击复制

OpenStack 高可用分布式存储方案设计与实现()
分享到:

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
29
期数:
2019年02期
页码:
35-38
栏目:
智能、算法、系统工程
出版日期:
2019-02-10

文章信息/Info

Title:
Design and Implementation of High Available Distributed Storage Scheme Based on OpenStack
文章编号:
1673-629X(2019)02-0035-04
作者:
姚捃严南
成都理工大学 工程技术学院,四川 乐山 614000
Author(s):
YAO JunYAN Nan
School of Engineering & Technique,Chengdu University of Technology,Leshan 614000,China
关键词:
云计算单点故障分布式存储OpenStack高可用
Keywords:
cloud computingSPoFdistributed storageOpenStackhigh availability
分类号:
TP301
DOI:
10.3969/j.issn.1673-629X.2019.02.007
摘要:
自 OpenStack 开源项目诞生以来,云计算技术与企业解决方案得到了飞速发展,云平台更是在企业内部大面积部署,随着规模化与集成化的高度发展,也带来一系列问题。其中单节点的稳定性与高可用性尤为重要,是保障企业持续性、高容错、高并发服务业务的关键。针对 OpenStack 各相关服务组件在长时间运行期间容易导致的单点故障(SPoF)问题,结合多种负载均衡、IP 漂移、网络路由冗余(VRRP)、数据库集群(galera)、分布式集群(Ceph)等技术,提出一种基于OpenStack 高可用平台的分布式存储方案。该方案能在单节点发生故障、网络拥堵、数据高爆发等情况下通过业务的负载均衡、服务实例故障转移、热备份和热迁移、软硬件冗余等方式实现整个分布式平台的高可用,具有测试环境和生产环境下的可行性。
Abstract:
Since the birth of OpenStack open source project,cloud computing technology and enterprise solutions have developed rapidly,and the cloud platform have been deployed largely within enterprises. With the high development of scale and integration,a series of problems have been brought out. The stability and high availability of single node is particularly important,which is the key to ensure enterprise persistence,high fault tolerance and high concurrency service business. For a single point of failure (SPoF) easily caused by various OpenStack related components during a long period of operation,combined with a variety of technologies such as load balancing,IPdrift,network routing redundancy (VRRP),database cluster (galera) and Ceph,we propose a distributed storage scheme based on Open-Stack high availability platform. The scheme can realize the high availability of the whole distributed platform in the case of single nodefault,network congestion,high data outbreak by means of load balancing,service instance failover,hot backup and hot transfer,softwareand hardware redundancy,which is feasible in both the test environment and the production environment.

相似文献/References:

[1]王茜,朱志祥,史晨昱,等.应用于数据库安全保护的加解密引擎系统[J].计算机技术与发展,2014,24(01):143.
 WANG Qian[],ZHU Zhi-xiang[],SHI Chen-yu[],et al.Encryption and Decryption Engine System Applying to Database Security and Detection[J].,2014,24(02):143.
[2]陈丹伟 黄秀丽 任勋益.云计算及安全分析[J].计算机技术与发展,2010,(02):99.
 CHEN Dan-wei,HUANG Xiu-li,REN Xun-yi.Analysis of Cloud Computing and Cloud Security[J].,2010,(02):99.
[3]孙放 陈云芳 林杭锋.适用于富客户端的云计算模型[J].计算机技术与发展,2010,(08):96.
 SUN Fang,CHEN Yun-fang,LIN Hang-feng.Cloud Computing Model Applicable to Rich Client Applications[J].,2010,(02):96.
[4]郭苑 张顺颐 孙雁飞.物联网关键技术及有待解决的问题研究[J].计算机技术与发展,2010,(11):180.
 GUO Yuan,ZHANG Shun-yi,SUN Yan-fei.Research of Key Technologies and Unresolved Questions of Internet of Things[J].,2010,(02):180.
[5]李玲娟 张敏.云计算环境下关联规则挖掘算法的研究[J].计算机技术与发展,2011,(02):43.
 LI Ling-juan,ZHANG Min.Research on Algorithms of Mining Association Rule under Cloud Computing Environment[J].,2011,(02):43.
[6]王德政 申山宏 周宁宁.云计算环境下的数据存储[J].计算机技术与发展,2011,(04):81.
 WANG De-zheng,SHEN Shan-hong,ZHOU Ning-ning.Data Storage in Cloud Computing Environment[J].,2011,(02):81.
[7]宋丽华 姜家轩 张建成 田长录 马文征.黄河三角洲云计算平台关键技术的研究[J].计算机技术与发展,2011,(06):40.
 SONG Li-hua,JIANG Jia-xuan,ZHANG Jian-cheng,et al.Research of Key Technologies of Cloud Computing of Yellow River Delta[J].,2011,(02):40.
[8]田宏伟 解福 倪俊敏.云计算环境下基于粒子群算法的资源分配策略[J].计算机技术与发展,2011,(12):22.
 TIAN Hong-wei,XIE Fu,NI Jun-min.Resource Allocation Algorithm Based on Particle Swarm Algorithm in Cloud Computing Environment[J].,2011,(02):22.
[9]张慧 邢培振.云计算环境下信息安全分析[J].计算机技术与发展,2011,(12):164.
 ZHANG Hui,XING Pei-zhen.Information Security Analysis in Cloud Computing Environment[J].,2011,(02):164.
[10]张建成[] 宋丽华[] 鹿全礼[] 郭锐[] 刘永泉[].云计算方案分析研究[J].计算机技术与发展,2012,(01):165.
 ZHANG Jian-cheng,SONG Li-hua,LU Quan-li,et al.Study and Analysis of Cloud Computing Procedure[J].,2012,(02):165.

更新日期/Last Update: 2019-02-10