本文選題：云存儲　切入點(diǎn)：重復(fù)數(shù)據(jù)刪除　出處：《北京郵電大學(xué)》2013年碩士論文

【摘要】：高校信息化建設(shè)是實(shí)現(xiàn)現(xiàn)代化教育的關(guān)鍵因素。在高校信息化建設(shè)進(jìn)程中,由于教學(xué)數(shù)據(jù)的相似性,各高校獨(dú)立搭建的教育管理系統(tǒng)間存在大量重復(fù)數(shù)據(jù),造成存儲資源的極大浪費(fèi),而且教學(xué)數(shù)據(jù)呈現(xiàn)指數(shù)式增長,這給傳統(tǒng)數(shù)據(jù)中心帶來極大存儲壓力。全體用戶共享一個資源池造成了資源搜索效率不高,而且由于用戶角色權(quán)限不明確,教學(xué)資源不能在高校用戶之間實(shí)現(xiàn)安全共享。 針對上述問題,提出并設(shè)計(jì)基于云存儲的教育管理系統(tǒng),解決海量數(shù)據(jù)存儲和資源安全共享問題,并對系統(tǒng)各功能分別進(jìn)行測試。 首先,在海量數(shù)據(jù)存儲研究中,深入研究云存儲技術(shù),對各種數(shù)據(jù)布局算法進(jìn)行比較研究,結(jié)合一致性哈希算法、改進(jìn)的-致性哈希算法和SIEVE算法提出一種改進(jìn)的數(shù)據(jù)布局算法,從而提高數(shù)據(jù)存取效率和滿足云存儲平臺存儲空間動態(tài)擴(kuò)展性要求,降低系統(tǒng)升級維護(hù)的復(fù)雜度,同時,提出一種針對教學(xué)數(shù)據(jù)特征的本地重復(fù)數(shù)據(jù)刪除算法,降低數(shù)據(jù)冗余度,減少對網(wǎng)絡(luò)帶寬的要求。 其次,針對教學(xué)資源安全共享問題,結(jié)合基于角色的訪問控制技術(shù),提出基于高校資源空間及角色的共享策略,對用戶角色和存儲空間進(jìn)行相應(yīng)劃分,嚴(yán)格限制和分配各用戶角色在各資源共享區(qū)中的操作權(quán)限,從而實(shí)現(xiàn)教學(xué)資源的安全共享,并結(jié)合災(zāi)備技術(shù)提出基于教學(xué)數(shù)據(jù)特性的資源等級備份策略,提供教學(xué)數(shù)據(jù)異地備份服務(wù),從而進(jìn)一步增加教學(xué)數(shù)據(jù)的安全性。 最后,搭建基于云存儲的教育管理系統(tǒng)的測試平臺,從性能和功能兩方面對系統(tǒng)各功能模塊進(jìn)行測試。實(shí)驗(yàn)結(jié)果表明：改進(jìn)的數(shù)據(jù)布局算法可以較好地滿足公平性和自適應(yīng)性要求；基于教學(xué)數(shù)據(jù)特征的本地重復(fù)數(shù)據(jù)刪除算法可以減少約80%的教育重復(fù)數(shù)據(jù)；基于高校資源空間及角色的共享策略可以嚴(yán)格限制各個用戶的操作權(quán)限,實(shí)現(xiàn)不同群體之間的資源共享。
[Abstract]:The construction of university information is the key factor to realize the modernization of education. In the process of university information construction, because of the similarity of teaching data, there are a lot of duplicate data among the independent educational management systems in colleges and universities. It causes great waste of storage resources and exponential growth of teaching data, which brings great storage pressure to traditional data centers. Moreover, because the user role authority is not clear, the teaching resources can not be safely shared among the users in colleges and universities. Aiming at the above problems, an educational management system based on cloud storage is proposed and designed to solve the problems of mass data storage and resource security sharing, and the functions of the system are tested separately. First of all, in the research of mass data storage, the cloud storage technology is deeply studied, and various data layout algorithms are compared, combined with consistent hash algorithm. The improved Hash algorithm and SIEVE algorithm propose an improved data layout algorithm, which can improve the efficiency of data access, meet the requirements of dynamic expansion of storage space of cloud storage platform, reduce the complexity of system upgrade and maintenance, at the same time, reduce the complexity of system upgrade and maintenance. A local repetitive data deletion algorithm based on the characteristics of teaching data is proposed to reduce the redundancy of data and the requirement of network bandwidth. Secondly, aiming at the problem of safe sharing of teaching resources, combined with role-based access control technology, this paper puts forward the sharing strategy based on university resource space and role, and classifies the user role and storage space accordingly. In order to realize the safe sharing of teaching resources, we strictly restrict and assign the operation rights of each user role in each resource sharing area, and propose a resource level backup strategy based on the characteristics of teaching data combined with disaster preparedness technology. Provide teaching data remote backup service, thereby further increasing the security of teaching data. Finally, the test platform of education management system based on cloud storage is built. The performance and function of each function module of the system are tested. The experimental results show that the improved data layout algorithm can meet the requirements of fairness and adaptability. The local repetitive data deletion algorithm based on the feature of teaching data can reduce about 80% of the repeated data of education, and the sharing strategy based on university resource space and role can strictly restrict the operation authority of each user. To realize the sharing of resources among different groups.
【學(xué)位授予單位】：北京郵電大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：TP333

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 楊義先;姚文斌;陳釗;;信息系統(tǒng)災(zāi)備技術(shù)綜論[J];北京郵電大學(xué)學(xué)報(bào);2010年02期

2 秦潤鋒;樊勇兵;唐宏;金華敏;;開源云計(jì)算管理平臺技術(shù)在電信運(yùn)營商私有云建設(shè)中的應(yīng)用研究[J];電信科學(xué);2011年10期

3 付印金;肖儂;劉芳;;重復(fù)數(shù)據(jù)刪除關(guān)鍵技術(shù)研究進(jìn)展[J];計(jì)算機(jī)研究與發(fā)展;2012年01期

4 李霞;蔣盛益;;改進(jìn)的共享最近鄰聚類算法[J];計(jì)算機(jī)工程與應(yīng)用;2011年08期

5 陳濤;肖儂;劉芳;;大規(guī)模網(wǎng)絡(luò)存儲系統(tǒng)的數(shù)據(jù)布局算法研究[J];計(jì)算機(jī)工程與科學(xué);2009年11期

6 高大利;孫凌;辛艷;;基于角色權(quán)限的普適計(jì)算受限委托方法[J];計(jì)算機(jī)應(yīng)用;2011年05期

7 郭艷霞;顏軍;;海量數(shù)據(jù)存儲模式的研究[J];計(jì)算機(jī)與數(shù)字工程;2008年11期

8 劉迎風(fēng),祁明;容災(zāi)技術(shù)及其應(yīng)用[J];計(jì)算機(jī)應(yīng)用研究;2002年06期

9 陳濤;肖儂;劉芳;付長勝;;基于聚類和一致Hash的數(shù)據(jù)布局算法[J];軟件學(xué)報(bào);2010年12期

10 王意潔;孫偉東;周松;裴曉強(qiáng);李小勇;;云計(jì)算環(huán)境下的分布存儲關(guān)鍵技術(shù)[J];軟件學(xué)報(bào);2012年04期

相關(guān)碩士學(xué)位論文 前2條

1 李紅霞;云計(jì)算中身份認(rèn)證與訪問控制管理系統(tǒng)的實(shí)現(xiàn)策略研究[D];北京郵電大學(xué);2011年

2 馮本明;云存儲中數(shù)據(jù)塊資源分布及服務(wù)器效能優(yōu)化問題研究[D];湖南大學(xué);2011年

，

本文編號：1655648