基于云存储的网络文档共享研究  

Research on Cloud Storage Based Network Document Sharing

作　　者：吴岳忠[1,2] 刘琴[3] 李长云[2] 王国军[1] 

机构地区：[1]中南大学信息科学与工程学院,长沙410083 [2]湖南工业大学计算机与通信学院,株洲412007 [3]湖南大学信息科学与工程学院,长沙410082

出　　处：《小型微型计算机系统》2015年第1期95-99,共5页Journal of Chinese Computer Systems

基　　金：国家自然科学基金项目(61272151;61073037;61379058;61350011)资助;国际科技合作计划基金项目(2013DFB10070)资助;教育部博士点基金项目(20110162110043)资助;湖南省自然科学基金重点课题(12JJ2036)资助;湖南省科技计划项目(2012GK4106)资助

摘　　要：随着互联网技术的发展,越来越多的用户选择使用网络共享方式存放和获取所需文档资料.然而如何在海量数据中挖掘信息并构建实现用户个性化需求服务的解决方案是网络共享平台面临的一个严峻挑战.基于云存储强大的可扩展存储和计算能力,结合全文检索技术,通过对包含用户兴趣的文档信息进行处理,本文设计并实现了一个基于云存储的网络文档共享模型.在基于Hadoop和Lucene搭建的平台上实现了该模型的主要服务模块.该模型基于网络传输交互,具有存储空间可扩展、访问速度快等优点,对实现网络资源共享及个性化推荐具有很好的借鉴价值.With the development of Intemet technology,more and more users choose to use a network sharing way to store and access the required documentation. However,how to obtain valuable information from a huge amount of data and how to construct the solu- tion to offer the user personalized demands and services are facing a serious challenge for a network sharing platform. Based on the powerful and extensible storage and computing power in cloud storage, a network document sharing model based on cloud storage is designed and implemented, by using the full text retrieving technology to process the documents containing the information about user interests. The proposed model realizes the main service module based on Lucene and Hadoop platform. The proposed model is based on the network interaction,which has advantages of the extensible storage space and efficient access speed, etc, and has a fairly good reference value in realizing network resources sharing and personalized recommendation.

关 键 词：云存储 全文检索 用户兴趣模型 共享 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]