基于云计算的铁路信息共享平台及关键技术研究
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摘要
随着铁路信息化的不断发展,我国铁路信息化建设取得了很大成绩,在运输组织、客货营销和经营管理三大领域,建成了一系列覆盖全路的信息系统。然而,各业务信息系统以其独立的应用为中心,形成了“烟囱型”布局的相互隔离的信息孤岛,信息资源无法共享,整体效益难以发挥,是铁路信息化进一步深入发展的极大障碍,尽快改变这一现状已成为铁路信息化建设目前亟需解决的问题。建立铁路信息共享平台,实现互联互通、信息共享、互动协调、综合应用,已成为大家的共识,也是近年来信息化建设领域中研究的重点之一,采用面向服务的体系架构SOA的信息共享平台研究已取得重要的成果,为应用层面信息共享问题提出了解决方案并得到了实施应用,但由于未涉及底层资源的架构,尚未形成从底至上完整的架构方案。
     随着云计算理论和技术的发展,对于异域异构信息资源共享、信息综合利用提供了解决方案,国内外相关行业纷纷展开了研究和探索。云计算是一种共享IT基础架构的方法,可以将各种资源连接起来,形成资源池以提供IT服务。基于云计算构建铁路信息共享平台,建立物理资源池、信息共享资源池,以服务的模式提供给信息共享平台云端用户,发挥信息资源综合效益,满足信息共享交换的需求,是铁路信息共享平台建设的一种新技术思路。
     本文以铁路信息共享需求为背景,对云计算理论和关键技术进行研究,在此基础上提出基于云计算的铁路信息共享平台架构解决方案,重点研究云计算存储技术、云服务技术和云安全技术,从信息共享平台基础信息存储、业务功能服务提供及整体安全方面提出解决思路。本文的主要研究内容和创新成果如下:
     (1)研究云计算理论及其关键技术,将云计算理论和关键技术用于铁路信息共享平台的研究,根据云服务的部署模式和铁路信息共享需求及特点,提出了采用云计算构建铁路信息共享平台的新思路。
     (2)提出了基于云计算的铁路信息共享平台总体框架(CRISP),描述了云计算铁路信息共享平台的需求(SFMS需求),逻辑架构、物理架构和支撑体系(SSMC支撑体系),给出了云计算信息共享平台信息存储、资源调度、平台监控和应用服务的解决方案及实施建议。
     (3)研究云计算信息共享平台存储技术,提出了基于云计算的企业数据中心和云计算共享平台数据存储策略,采用分布式存储技术和非关系数据存储模型,建立共享平台资源存储池;提出了面向对象信息编码方法,实现了基于云计算存储技术的铁路共享信息存储管理。
     (4)研究云计算信息共享平台服务技术,提出了云计算信息共享平台服务架构,及适用于云计算信息共享平台的服务目录管理和服务检索匹配算法模型。
     (5)研究云计算信息共享平台安全技术,提出了云计算信息共享平台信息安全模型和立体防护体系,研究了基于统一云计算安全中心的安全防护及相关技术。
With the continuous development of railway information, the railway informationconstruction in China has made great achievements in the three main areas of the transportationorganization, passenger and cargo marketing and business management, and built a number ofinformation systems covering the whole aspects of the railway. However, existing businessinformation systems based on the original information architecture, each take its separateapplication as its center, so forming a "chimney type" layout in whole railway area, thus theexchange of sharing information encountered more obstacles. Makes the exchange of sharinginformation between business systems, improve overall coordination and comprehensive benefitsplay encounter greater obstacles. Change this situation as soon as possible has become an urgentproblem in the construction of railway information. Railway information sharing platform toachieve interoperability, information sharing, interaction and coordination, integrated applicationhas become a consensus, is also one of the key research in the field of information areas in recentyears, the research of service-oriented architecture SOA for information sharing platform has madeimportant achievements, the proposed solutions for application level information sharing and theimplementation of the application, but not involved in the architecture of the underlying resources,has not yet formed the comprehensive framework from the bottom.
     With the development of cloud computing theory and key technologies, the new solution isproposed for heterogeneous information sharing and comprehensive information utilization, relatedindustries at home and abroad have carried out research and exploration. Cloud computing is a wayof sharing IT infrastructure, which can connect varieties of resources together to form a resourcespool to provide IT services. Based on cloud computing to build the railway information sharingplatform, establish the physical resources pool and sharing resources pool, which provide servicesfor the railway information-sharing platform cloud user, play the comprehensive benefits ofinformation resources to meet the needs of exchange and sharing information, which provide anew way for building railway information sharing platform.
     The research of the theory and key technologies of cloud computing combined with therailway information sharing needs provide solutions for cloud-based railway information sharingplatform architecture, focus on cloud computing storage technology, cloud services and cloud security technology, provide solutions for common information storage, business functions serviceand the overall security of information sharing platform.The main contents of this article andinnovations are as follows:
     (1) Study the theory and key technologies of cloud computing, study building cloud-based railwayinformation sharing platform(CRISP), according to the cloud service deploying mode andinformation sharing characters and needs, proposed the new ideas of establishment of the CRISP.
     (2) Proposed the framework of cloud computing-based railway information sharing platform,described the logical architecture and physical architecture of the CRISP, put forward the schemeof storage, service allocating, monitoring and application in the CRISP, then adviced theimplementation scheme of the CRISP.
     (3) Study storage technology of the CRISP. Proposed cloud computing-based enterprise data centerand data storage strategy for the CRISP, adopt distributed storage technology and non-SQL datastorage model to form storage resources pool for the CRISP. Proposed the object-orientedinformation encoding method, realized the railway sharing information management in theCRISP.
     (4)Study services technologies for the CRISP. Proposed cloud-based services framework, servicecatalog management and service matching algorithm model can be used for the CRISP.
     (5) Study security technologies of the CRISP. Proposed information safety model andthree-dimentional protection system, study on the security protection based on the unified securitycenter and key technologies.
引文
[1]中华人民共和国铁道部.铁路信息化总体规划[S],铁信息[2005]4号,2005,1
    [2]张冰,基于SOA的铁路信息共享平台服务发现机制的研究[D],北京:北京交通大学学位论文,2008
    [3]柴小卉,人民银行信息系统整合的必要性与方法思考[J],上海金融,2004年4期:46-49
    [4]李平,铁路信息共享平台体系结构研究[J],中国铁路,2008,Vol.551(5):23-26
    [5]史天运,铁路公用基础信息平台体系框架的研究[J],中国铁路,2007年8期:12-15
    [6]张莉艳,李平等,铁路信息共享平台总体方案及关键技术研究[R],北京:中国铁道科学研究院,2008.12
    [7]郑伟,武钢天网信息系统集成方式研究与实现[J],商品与质量,2010年S3期:86
    [8]李平,王富章,关于城市轨道交通信息集成系统的研究[J],制造业自动化,2006,Vol.28(07增刊):57-60
    [9]integrail[EB/OL], http://www.unife.org/documents/,2009
    [10]ITS Strategy in Japan[EB/OL], http://www.its-jp.org/english/topics_e/doc/,2009
    [11]刘云,铁路信息系统集成与应用[M],北京:中国铁道出版社,2011.10
    [12]交通部:两年内建立部省两级数据交换与共享体系[EB/OL],http://www.gov.cn/gzdt/2007-05/23/content_623434.htm,2007,5
    [13]国航信息共享平台上线运行将发布更多服[EB/OL]务,http://www.zats.cn/Article.aspx?nid=2614,2010.12
    [14]地震科学数据共享系统运行规范[EB/OL],http://wenku.baidu.com/view/f5966bfb770bf78a652954b7.html,2006.12
    [15]地震科学数据共享项目工作回顾[EB/OL],http://www.cea.gov.cn/manage/html/8a8587881632fa5c0116674a018300cf/_history/08_06/30/1214800408593.html,2008.2
    [16]EAI-SOA-SOI-ESB对比[EB/OL],http://wenku.baidu.com/view/992597d4195f312b3169a539.html,2011.2
    [17]EAI-SOA-SOI-ESB对比[EB/OL],http://wenku.baidu.com/view/992597d4195f312b3169a539.html
    [18]张莉艳,李平,刘春煌,铁路应急预警信息共享的研究[J],铁路计算机应用,2009,18(8):22-24
    [19]陈骞,国外云计算发展现状简述[EB/OL],http://www.istis.sh.cn/list/list.aspx?id=6372,2009.12
    [20]王占波,云计算:哪片云“财”能下雨[EB/OL],http://it.sohu.com/20101224/n278492337.shtml,2010.12
    [21]微软云计算架构,http://baike.baidu.com/view/9903985.htm[EB/OL],2012.6
    [22]熊乐,Google集群系统技术综述[J],中国科技信息,2009年第9期:126-127
    [23]刘军,丁红,吕涛,Google集群体系结构分析[J],武汉化工学院学报, VOl.27,2005(9):55-59
    [24]施游,张智,云计算体系架构[J],电脑知识与技术,Vol.7,No.1,January,2011,pp.83-84,
    [25]IBM蓝云[EB/OL],http://wenku.baidu.com/view/c11e0203de80d4d8d15a4f4a.html,2011.2
    [26]亚马逊云架构[EB/OL],http://wenku.baidu.com/view/36929810a2161479171128ab.html,2010
    [27]云计算发展现状[EB/OL],http://shequ.docin.com/app/teamMessage/showTeamTalk?teamId=2946&cardId=4464414,2012.4
    [28]曙光公司云计算中心解决方案[EB/OL],http://wenku.baidu.com/view/47e4ae492e3f5727a5e962dd.html,2012.3
    [29]中国移动Big Cloud云平台[EB/OL],http://www.baidu.com/link?url=jJMPGJqjJ4zBBpC8yDF8xDh8rD3nAJZjFWsHhEoSNd85PkV8Xil5rRonRiOmojeAAo7Z0I3twY5y1Ete_faERSO7UK,2011.9
    [30]李志刚,国家地理信息公共服务平台总体设计[EB/OL],http://wenku.baidu.com/view/a7a2c43f5727a5e9856a61ea.html,2010.11
    [31]全国地理信息公共服务平台建设白皮书[EB/OL],http://wenku.baidu.com/view/5e532bc69ec3d5bbfd0a7452.html,2010.10
    [32]Alguliev, R.M.,Alekperov, R.K, Cloud computing: Modern state, problems and prospects[J],Telecommunications and Radio Engineering,2013, v72, n3:255-266
    [33]张莉艳,铁路信息共享发展历程及趋势[J],综合运输,2013(4):71-74
    [34]崔云飞,王帅,李艺,董可为,基于多级递阶控制结构的云计算资源管理研究[J],装备指挥技术学院学报,2010,vol21,4:117-122
    [35]冯建平,吴丽华,“云计算”技术和“云计算”服务模式——全球信息化发展的未来[J],信息系统工程,2009.11:78-80
    [36]Cloud computing[EB/OL],http://en.wikipedia.org/wiki/Cloud_computing,2013.1
    [37]什么是云计算[EB/OL],http://www.cloudcomputing-china.cn/Article/ShowArticle.asp?ArticleID=1,2012.6
    [38]杨涛,云计算的服务化展现方式—SaaS[J],才智,2010.12:18
    [39]让云计算触手可及-微软云计算解决方案白皮书[EB/OL],http://wenku.baidu.com/view/b7c6f011f18583d0496459f4.html,2009.12
    [40]狭义云计算与广义云计算[EB/OL],http://news.xinhuanet.com/eworld/2010-07/17/c_12342952.htm,2010.7
    [41]倪光南,新技术发展环境下的电子政务建设[EB/OL],http://www.ciia.org.cn/xwzx/zjlt/lwzb/201011/t20101126_27027.html,2010.11
    [42]Service Oriented Cloud Computing Infrastructure[EB/OL],http://www.opengroup.org/projects/soa-soi/uploads/40/19814/2962_Nadhan.ppt
    [43]Introduction to Cloud Computing Architecture[EB/OL],www.sun.com/featured-articles/CloudComputing.pdf
    [44]VAQUERO L M, RODERO-MERINO L,CACERES J,et al.Abreak in the clouds: Towards a cloud definition[J]. ACM SIG-COMM ComputerCommunication Review,2009,39(1):50-55
    [45]Tai Stefan,Cloud service engineering,200918th IEEE International Workshops on EnablingTechnologies:Infrastructures for Collaborative Enterprises, WETICE '09,P3-4,
    [46]Sun Microsystems. Introduction to Cloud Computing architecture [M/OL],Sun White Paper1stEdition,2009
    [47]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,2009.10
    [48]云计算的分类[EB/OL],http://tech.qq.com/a/20101103/000074.htm,2010.11
    [49]孙卫,云计算分类分析[EB/OL],http://wenku.baidu.com/view/71fd440c6c85ec3a87c2c5cb.html,2011.3
    [50]云计算的特点[EB/OL],http://wenku.baidu.com/view/20bb0028cfc789eb172dc8bb.html,2011.6
    [51]云计算的20个基本定义和8大特点[EB/OL],http://wenku.baidu.com/view/67f2b8e69b89680203d82568.html,2011.3
    [52]云计算的发展和特点[EB/OL],http://wenku.baidu.com/view/2d32a4f77c1cfad6195fa7de.html,2010.12
    [53]朱近之,智慧的云计算[M],北京:电子工业出版社,2010.3
    [54]云计算关键技术[EB/OL],http://zhidao.baidu.com/question/320599147.html,2011.9
    [55]王鹏,走进云计算[M],北京:人民邮电出版社,2009.6
    [56]王鹏,云计算的关键技术与应用实例[M],北京:人民邮电出版社,2010.1
    [57]吴朱华,云计算核心技术剖析[M],人民邮电出版社,2011,5
    [58]司品超,董超群,吴利,云计算:概念、现状及关键技术[EB/OL],http://www.ciotimes.com/cloud/cjs/cloud200909081003.html,2009.9
    [59]雷万云,云计算:企业信息化建设策略与实践[M],北京:清华大学出版社,2010.12
    [60]李武姚珺.数据库原理及应用[M].哈尔滨:哈尔滨工程大学出版社,2010:2-3
    [61]WebServices技术[EB/OL], http://wenku.baidu.com/view/66f397155f0e7cd1842536e0.html,2011.7
    [62]范增禄,薛峰,并行计算编程技术浅析[J],福建电脑,2007(3):42-44
    [63]虚拟化技术[EB/OL],http://baike.baidu.com/view/13605.htm,2012.10
    [64] IT中国.云安全[EB/OL]. http://www.searchsecurity.com.cn/guide/cloudsecurity.htm,2010-03-30/2010-06-30.
    [65]美国国家标准及技术研究所(NIST)对于云计算的定义[EB/OL],http://bbs.cio360.net/forum.php?mod=viewthread&tid=195573,2011.2
    [66]ZHANG Li-Yan, SHI Tian-yun, LIU Chun-huang, etc.Study oninformation sharing platform andkey technologies for high-speed rail network[J],第七届世界高速铁路大会,2010,12
    [67]ZHANG Li-Yan,WANG Fu-Zhang,LI Ping,Study on the Framework of Urban Mass Transit IntelligentComprehensive Monitoring System[A],IEEE GCIS[C],2009
    [68]Wu. Jiyi,Ping. Lingdi,Ge, Xiaoping etc. Cloud storage as the infrastructure of CloudComputing[A],2010International Conference on Intelligent Computing and CognitiveInformatics[C], ICICCI2010, p380-383,
    [69]详细分析:云存储系统架构[EB/OL],http://storage.chinabyte.com/136/12201136.shtml,2011.11.14
    [70]云存储[EB/OL],http://www.fourstar.com.cn/Knows_sub.aspx?KnowsID=Knows1,2010.12
    [71]张宁,浅谈云存储的运用_数据中心_比特网[EB/OL],http://datacenter.chinabyte.com/471/11037471.shtml,2009.11
    [72]Wenying Zeng, Yuelong Zhao, Kairi Ou and etc. Research on Cloud Storage Architecture andKey Technologies[EB/OL], http://wenku.baidu.com/view/ebdce1e1b8f67c1cfad6b844.html,2013.3
    [73]Yanmei Huo, Hongyuan Wang, Liang Hu and etc. A Cloud Storage Architecture Model forData-Intensive Applications,http://wenku.baidu.com/view/ebdce1e1b8f67c1cfad6b844.html,2010.10
    [74]雷燕,吕后坤,虚拟存储技术研究[EB/OL],http://articles.e-works.net.cn/storage/article67911.htm,2009.6
    [75]范春莹,云计算推动数据中心运营服务创新[EB/OL],http://www.eeworld.com.cn/wltx/2011/1222/article_7036.html,2011.12
    [76]石利平,浅析基于Web的云存储技术[J],现代计算机,2010年03期:117-119
    [77]基于主机的虚拟化存储应用及注意事项_企业存储管理与方案[EB/OL],http://stor.zol.com.cn/156/1562316.html,2009.11
    [78]虚拟主机的优势特点[EB/OL],http://www.zgsj.com/help/newshy/post/997.html,2012.6
    [79]探讨云计算环境下数据中心管理运行[EB/OL],http://server.chinabyte.com/103/12405103.shtml,2012.8
    [80]史天运,李平,铁路信息化公共基础信息平台的研究[J],中国交通运输系统工程学会成立二十周年暨2006年中国城市交通创新论坛
    [81]陈全,邓倩妮,云计算及其关键技术[J],计算机应用,2009,29(09):2562-2567
    [82]郑义,元数据模型在数据统一平台中的应用[D],硕士学位论文,北京:华北电力大学,2007.
    [83]Divya.K, Jeyalatha.S, Key technologies in cloud computing[A], Proceedings of2012International Conference on Cloud Computing Technologies, Applications and Management, ICCCTAM2012[C],2012:196-199
    [84]http://www.yeeach.com/2009/10/04/row-oriented-database-%E3%80%81column-oriented-database-%E3%80%81key-value-store-database-%E3%80%81document-oriented-database/,2011.3
    [85]Nathan Hurst, Visual Guide to NoSQL Systems[EB/OL],http://blog.nahurst.com/visual-guide-to-nosql-systems/?c=1,2010.3
    [86]黄贤立,NoSQL非关系型数据库的发展及应用初探[J],福建电脑,2010(7):30,45
    [87]crazyinsomnia,NoSQL数据库探讨[EB/OL],http://www.oschina.net/question/30362_4070,2010.2
    [88]谢毅,高宏伟,范朝冬等,NoSQL非关系型数据库综述[J],先进技术研究通报,2010,Vol.4No.8:46-50
    [89]黄俊平,分布式Key-Value存储系统: Cassandra入门[EB/OL],http://www.ibm.com/developerworks/cn/opensource/os-cn-cassandra/,2010.7
    [90]分布式存储系统设计[EB/OL],http://hi.baidu.com/quest2run/item/0f54084fe653afe81381da9b,2011.4
    [91]程莹,张云勇,房秉毅,徐雷,云计算时代的数据库研究[J],电信技术,2011(1):27-28
    [92]蒋建军,王俊彪,杨宾宏等,基于统一编码的信息孤岛集成技术研究[J],计算机工程与应用,2006,42(23):165-167。
    [93]张莉艳,史天运,刘春煌,等,铁路公用基础信息面向本体编码方法研究[J],情报科学
    [94]中国标准研究中心。GB/T7027-2002信息分类和编码的基本原则与方法[S]。北京:中华人民共和国国家质量监督检验检疫总局,2002
    [95]Dominic Williams, HBase vs Cassandra:我们迁移系统的原因[EB/OL],http://cloud.csdn.net/a/20101129/282698.html,2010.11
    [96]CassandraV.S.HBase[EB/OL],http://blog.sina.com.cn/s/blog_633f4ab20100r92v.html,2011.5
    [97]分布式Key-Value存储系统cassandra [EB/OL],http://www.douban.com/note/140357817/,2011.3
    [98]Eben Hewitt,王旭译,Cassandra权威指南[M],北京:人民邮电出版社,2011年5月
    [99]匡胜徽,李勃,云计算体系结构及应用实例分析[EB/J],http://articles.e-works.net.cn/it_overview/article78618.htm,2010.7
    [100]于正水,基于云计算的铁路信息系统数据中心的研究[J],铁路计算机应用,2011,Vol.20(1):23-25
    [101]赵海鹏,基于SOA的服务发现技术研究与实现[D],硕士学位论文,西安:西安电子科技大学,2008
    [102]田永红,苏依拉,基于SOA软件体系结构的服务发现研究[J],内蒙古农业大学学报(自然科学版),2011.5:262-266
    [103]Sun Microsystems, Int roduction to Cloud Computing architecture [M/OL]. Sun White Paper1st Edition,2009
    [104]Peng Liu, Yao Shi, San li Li. Computing Poo-a Simplified and Practical Computational GridModel [C],the Second International Workshop on Grid and Cooperative Computing (GCC2003),Shanghai,2003.12
    [105]Kai Huang. Web-Scale Supercomputing: From Grid P2P Networks to Massive Systems ExploringInternetClouds [EB/OL], Lecture at Peking University, Beijing, China,2008-3-21
    [106]赵慧,刘希玉,崔海青,网格聚类算法[J],计算机技术与发展,2010,Vol.20(9):83-85
    [107]吕新荣,Web服务发现中的服务聚类技术研究[J],商场现代化,2009年5月:44-45
    [108]王安志,李明东,李超,各种聚类算法及改进算法的研究[EB/J],http://wenku.baidu.com/view/06c3cbcd0508763231121272.html,2009.3.3
    [109]邓亚萍,搜索引擎与云计算[EB/OL],http://media.people.com.cn/GB/40606/15788802.html,2011.9
    [110]丁陈:搜索引擎是云计算关键技术[EB/OL],http://opinion.im2m.com.cn/33/09223837156.shtml,2011.10
    [111]陆伟,胡春明,基于搜索引擎的Web服务发现系统[J],微计算机信息,2009.30:137-139
    [112]张建梁,基于云计算的语义搜索引擎研究[D],硕士学位论文,上海:复旦大学,2009
    [113]蒋明原,云计算平台在搜索引擎中的关键技术研究[D],硕士学位论文,太原:中北大学,2011
    [114]林乐然,陈德龙,基于云计算的分布式企业搜索引擎研究[J],电脑知识与技术,2009年33期:9429-9430
    [115]搜索引擎的关键技术[EB/OL],http://bbs.scmlife.com/thread-2052-1-1.html,2006.12
    [116]王晓伟,垂直搜索引擎若干关键技术的研究[D],硕士学位论文,浙江大学,2007
    [117]张莉艳,基于模糊聚类和人工神经网络的建模及应用研究,硕士学位论文,北方交通大学,2002
    [118]彭敦陆,周傲英,基于方法聚类的Web服务检索技术,计算机应用,vol27,2007(10):2365-2368
    [119]吴健,吴朝晖,李莹,等,基于本体论和词汇语义相似度的Web服务发现[J],计算机学报,vol28,2005(4):595-600
    [120]马华,李建华,陈松乔,等,基于本体聚类的面向业务用户服务发现模型[J],计算机工程,vol33,2007(2):215-217
    [121]Kumar.Arjun,Lee.Byung Gook,Lee.Hoonjae etc.Secure storage and access of data in cloudcomputing[A],International Conference on ICT Convergence,ICTC2012[C],2012:336-339
    [122]冯登国,张敏,张妍,徐震,云计算安全研究[J],软件学报, Vol.22,2011(1):71-81
    [123]李战宝,张文贵,云计算及其安全性研究[J],信息网络安全,2011(1):5-7
    [124]TT中国,云安全[EB/OL]. http://www.searchsecurity.com.cn/guide/cloudsecurity.htm,2010-03-30/2010-06-30.
    [125]张莉艳,崔丽新,张惟皎,动车组管理信息系统信息安全体系研究[J],铁路计算机应用,2013.1
    [126]李彦宾,孙松儿,云计算时代的信息安全防护方案设计研究[J],2011.10:17-18
    [127]薛静,基于虚拟化的云计算平台中安全机制研究[D],硕士学位论文,西北大学,2010
    [128]Kre imir Popovi, eljko Hocenski,Cloud computing security issues and challenges[C],MIPRO2010, May24-28, Opatija, Croatia:344-349
    [129]M. Casassa-Mont, S. Pearson and P. Bramhall, Towards Accountable Management of Identityand Privacy: Sticky Policies and Enforceable Tracing Services[C], Proc. DEXA2003, IEEE ComputerSociety,2003, pp.377-382
    [130]Cloud Security Alliance, Security Guidance for Critical Areas of Focus in Cloud ComputingV2.1[EB/OL], http://www.cloudsecurityalliance.org/, December2009
    [131] International Data Corporation, Worldwide Security and Vulnerability Management2009–2013Forecast and2008Vendor Shares[EB/OL],http://vulnerabilitymanagement.com/docs/IDC_MA_2009.pdf
    [132]Greg Boss, Padma Malladi, Dennis Quan, et al. IBM云计算白皮书[EB/OL].http://www-01.ibm.com/software/cn/tivoli/ao/reg.html,2010-06-30.
    [133]周可,李春花,牛中盈,大规模数据中心的存储安全访问控制[J],中国计算机学会通讯,2012,8(10):32-37
    [134]SSL,http://www.baike.com/wiki/SSL[EB/OL],2012.6
    [135]http://www.oasis-open.org/spec[EB/OL],2012.6

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