基于云存储的教育管理系统研究与设计

发布时间：2018-03-23 23:16

本文选题：云存储　切入点：重复数据删除　出处：《北京邮电大学》2013年硕士论文

【摘要】：高校信息化建设是实现现代化教育的关键因素。在高校信息化建设进程中,由于教学数据的相似性,各高校独立搭建的教育管理系统间存在大量重复数据,造成存储资源的极大浪费,而且教学数据呈现指数式增长,这给传统数据中心带来极大存储压力。全体用户共享一个资源池造成了资源搜索效率不高,而且由于用户角色权限不明确,教学资源不能在高校用户之间实现安全共享。针对上述问题,提出并设计基于云存储的教育管理系统,解决海量数据存储和资源安全共享问题,并对系统各功能分别进行测试。首先,在海量数据存储研究中,深入研究云存储技术,对各种数据布局算法进行比较研究,结合一致性哈希算法、改进的-致性哈希算法和SIEVE算法提出一种改进的数据布局算法,从而提高数据存取效率和满足云存储平台存储空间动态扩展性要求,降低系统升级维护的复杂度,同时,提出一种针对教学数据特征的本地重复数据删除算法,降低数据冗余度,减少对网络带宽的要求。其次,针对教学资源安全共享问题,结合基于角色的访问控制技术,提出基于高校资源空间及角色的共享策略,对用户角色和存储空间进行相应划分,严格限制和分配各用户角色在各资源共享区中的操作权限,从而实现教学资源的安全共享,并结合灾备技术提出基于教学数据特性的资源等级备份策略,提供教学数据异地备份服务,从而进一步增加教学数据的安全性。最后,搭建基于云存储的教育管理系统的测试平台,从性能和功能两方面对系统各功能模块进行测试。实验结果表明：改进的数据布局算法可以较好地满足公平性和自适应性要求；基于教学数据特征的本地重复数据删除算法可以减少约80%的教育重复数据；基于高校资源空间及角色的共享策略可以严格限制各个用户的操作权限,实现不同群体之间的资源共享。
[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.
【学位授予单位】：北京邮电大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TP333

【参考文献】