高机密性高可用性的云存储系统研究

发布时间：2018-06-27 22:44

本文选题：云存储 + 机密性　；参考：《浙江大学》2013年硕士论文

【摘要】：随着云计算技术的不断发展,云存储目前也成为了计算机领域的研究热点,其相关技术是解决海量数据存储问题的有效方案。研究如何提高云存储系统的机密性和可用性,对于保障云存储过程中的数据安全、进一步促进云存储技术发展具有重大意义。然而现存的主流云存储系统,在安全保障机制方面,尤其是在保证数据的机密性和可用性方面手段单一。本文针对上述不足,对高机密性高可用性的云存储系统展开了研究,主要贡献包括： ◆提出了采用数据拆分和重建算法以及数据冗余策略提高数据的机密性和可用性； ◆结合数据拆分和重建算法以及开源HDFS (Hadoop分布式文件系统)设计了新的数据块控制流程,实现了HCAFS(高机密性和可用性文件系统)云存储原型系统； ◆对HDFS和HCAFS进行了大量的性能对比测试,给出了测试结果及分析； ◆为了更好的监控文件系统的表现,设计和实现了云服务监控与管理平台。
[Abstract]:With the continuous development of cloud computing technology, cloud storage has also become a hot topic in the field of computer research. Its related technology is an effective solution to the problem of massive data storage. It studies how to improve the confidentiality and availability of the cloud storage system, and further promote the development of cloud storage technology to further promote the development of cloud storage technology. It is of great significance. However, the existing mainstream cloud storage systems have a single way of ensuring the confidentiality and availability of data, especially in terms of security mechanisms.
In view of the above shortcomings, the cloud storage system with high confidentiality and high availability has been studied. The main contributions include:
The data splitting and reconstruction algorithm and data redundancy strategy are proposed to improve the confidentiality and availability of data.
The new data block control process is designed based on the data splitting and reconstruction algorithm and the open source HDFS (Hadoop distributed file system), and the HCAFS (high confidentiality and availability file system) cloud storage prototype system is realized.
A large number of performance comparison tests between HDFS and HCAFS are carried out, and the test results and analysis are given.
In order to better monitor the performance of the file system, a cloud service monitoring and management platform is designed and implemented.
【学位授予单位】：浙江大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TP333

【引证文献】