基于CAP理论的海量数据存储研究与应用

发布时间：2018-03-24 05:14

本文选题：云计算　切入点：云存储　出处：《苏州大学》2013年硕士论文

【摘要】：随着web2.0的兴起和云计算时代的来临，企业所需要存储和提供的数据量急速上升，如何有效保存，管理，提供大量数据，已成为当今社会的潜在需求和技术上的巨大挑战。传统的数据存储解决方案存在着缺陷，扩展性较差，无法为云存储提供技术支持，为此我们需要设计并实现新一代的数据存储解决方案。本文以云计算的大环境为背景，，介绍了当下面临的海量存储方面的挑战。在对现有的海量数据存储解决方案进行分析比较后，设计并实现了海量存储系统。设计该系统的主要目标包括：保证系统的高扩展性，保证系统构架的简单，保证数据存储的持久性。系统实现用到了环管理技术、一致哈希性算法、NWR理论。系统主要包括四大模块：代理服务器，存储服务器，账户服务器和一致性保证组件。在论文的最后，对设计的系统的代理服务器和存储服务器进行了功能测试和压力测试。
[Abstract]:With the rise of web2.0 and the advent of cloud computing era, the amount of data that enterprises need to store and provide increases rapidly, how to effectively preserve, manage and provide a large number of data, Has become a potential demand and a huge technical challenge in today's society. Traditional data storage solutions have shortcomings and poor scalability to provide technical support for cloud storage. To this end, we need to design and implement a new generation of data storage solutions. Based on the background of cloud computing environment, this paper introduces the current challenges of mass storage. After analyzing and comparing the existing solutions of mass data storage, A mass storage system is designed and implemented. The main objectives of the system are: to ensure the high scalability of the system, to ensure the simplicity of the system framework and to ensure the persistence of the data storage. The system mainly includes four modules: proxy server, storage server, account server and consistency guarantee component. At the end of the thesis, the system consists of four modules: proxy server, storage server, account server and consistency guarantee component. The function test and stress test of proxy server and storage server of the designed system are carried out.
【学位授予单位】：苏州大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TP333

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