基于Android的移动云存储系统的研究

发布时间：2018-02-01 13:21

本文关键词： 移动互联网云存储 Hadoop Android　出处：《安徽理工大学》2013年硕士论文　论文类型：学位论文

【摘要】：移动终端设备发展迅速,推动着移动互联网的迅猛发展。然而,移动终端的硬件存储资源的限制,成为了移动互联网的发展瓶颈。云存储服务可以为解决移动终端存储资源不足的问题提供一种有效的解决方案。本文主要针对Android移动终端对云存储系统进行了深入研究,旨在通过使用Hadoop开源云计算平台框架构建基于Android的移动云存储系统,解决移动终端存储资源不足的问题,同时进一步推广Hadoop技术的运用。本文所做的主要研究如下： 1.分析总结当前移动终端和云存储技术的发展现状及取得的成果,提出了基于Android的移动云存储系统的研究方案,相较于传统的存储系统,该系统可以提供更大的存储容量,并且具有更高的可靠性和可扩展性。 2.本文运用开源的Hadoop框架来搭建云存储平台,该平台采用普通PC机群来组建,在保证了系统的低成本的同时,具有较高的容错性能,并且可以高吞吐量地进行数据访问。 3.通过结合实际需求,对系统体系结构、功能结构、数据库进行了设计。系统采用了Hadoop的分布式文件系统(Hadoop Distributed File System, HDFS)进行文件管理,其单服务器架构简化了系统的整体结构。且在设计过程中,充分考虑了系统的易操作性,用户可方便快捷地进行文件管理操作。同时,为系统设计了监控和报警功能,使管理员可以更方便地进行系统维护。 4.对论文研究内容做出总结,并指出在研究过程中存在的不足,提出下一步的工作计划,以能够对系统做进一步的研究和完善。
[Abstract]:The rapid development of mobile terminal devices promotes the rapid development of mobile Internet. However, the hardware storage resources of mobile terminals are limited. Cloud storage service can provide an effective solution to solve the problem of insufficient storage resources of mobile terminals. This paper mainly focuses on the research of cloud storage system based on Android mobile terminal. Through the use of Hadoop open source cloud computing platform framework to build a mobile cloud storage system based on Android to solve the problem of insufficient storage resources of mobile terminals. At the same time, the application of Hadoop technology is further popularized. The main research in this paper is as follows: 1. Analyze and summarize the current development and achievements of mobile terminal and cloud storage technology, and put forward the research scheme of mobile cloud storage system based on Android, compared with the traditional storage system. The system can provide greater storage capacity, and has higher reliability and scalability. 2. This paper uses open source Hadoop framework to build cloud storage platform, which is composed of common PC cluster, which ensures the low cost of the system and has high fault tolerance performance. And it can access data with high throughput. 3. By combining with the actual requirements, the system architecture, function structure. The system adopts Hadoop's distributed file system, Hadoop Distributed File System. HDFS) file management, its single server architecture simplifies the overall structure of the system, and in the design process, fully consider the system easy to operate. At the same time, the monitoring and alarm functions are designed for the system, so that the administrator can carry out the system maintenance more conveniently. 4. Summarize the research content of the thesis, point out the deficiency in the research process, put forward the next work plan, in order to make further research and perfect to the system.
【学位授予单位】：安徽理工大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TP333

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