【作者】 谌侃；

【导师】 魏冰；

【作者基本信息】 北京邮电大学 ， 计算机科学与技术， 2013， 硕士

【摘要】 随着通信技术,互联网技术的不断发展,通信与网络逐步渗透到生活与工作,并通过丰富多样的通信业务及互联网业务改变人们的生活工作习惯。用户对业务的需求因而提升,对通信、互联网业务提出了新的需求,个性化服务和专家级信息服务成为必然趋势。其基础,来自用户在使用多样的通信业务,互联网业务中产生的海量数据。然而,用户信息分散,用户及业务提供者都无法在海量信息面前准确高效的获取所需要的信息,用户数据融合也应运而生。用户数据所处的领域不同,在不同网络、业务中的标识不同,数据格式不同,数据量不同,对时延可靠性要求不同,可扩展性要求不同,都对用户数据融合的存储方案产生了挑战。因而需要对用户数据融合的存储方案进行深入的研究。传统的电信架构存储方案,由于用户数据所处领域不同,在不同网络、业务总标识不同,需要大量的标识数据和数据路由数据,由于对海量数据的访问,庞大的路由表导致数据路由可能会成为数据访问的瓶颈,数据路由可能需要采用全国、省级两层数据路由机制。与此同时,一种新的方案,云计算为用户数据融合提供了一种新的思路。云计算(cloud computing),是一种基于互联网的计算方式,通过这种方式,共享的软硬件资源和信息可以按需提供给计算机和其他设备。云计算的核心思想,是将大量用网络连接的计算资源统一管理和调度,构成一个计算资源池向用户按需服务。提供资源的网络被称为“云”。其可扩展性好可靠性高,初始投资较低,并且可以根据用户需求逐步增加投资。本文首先介绍了用户数据融合和云计算的相关背景其次介绍了基于用户数据融合和云计算现有研究得到的总体设计方案,再次深入介绍了用户数据融合云计算方案的架构和各模块的功能设计及关键流程。最后对用户数据融合云计算方案进行了展望。更多还原

【Abstract】 With the continuous development of communication technology and internet technology, communication and internet gradually penetrate to the life and work and they change people’s life and work habits through rich variety of communication and internet businesses. As the customers enhance the business demands and they put forward new demands for the communication and internet business, the personalized services and the expert information services become an inexorable trend, whose bases come from the mass data generated by the various communication and internet businesses used by the customers. However, the users’information are scattered, customers and business providers cannot obtain the information they needed among the mass information accurately and efficiently, the user data convergence also emerge as the times require. The user data in different fields, the identifications are different in different networks and businesses, the difference of data formats, the difference of data sizes, the difference of the requirements for delaying the reliabilities, the difference of the expandability requirements, which all bring the challenges to the storage schemes of the user data convergence. Thus it is necessary to do further research to the storage schemes of the user data convergence.The traditional telecom architecture storage schemes require a large number of identification data and data routing data as the user data are in different fields, the different networks, and the different business total identifications. Because of the mass data access, the large routing table causes the date routing may become the bottleneck of the data access, the data routing may need to adopt the national and the provincial levels data routing mechanisms. Meanwhile, a new scheme, cloud computing, which provides a new idea for the user data convergence. Cloud computing is a computational method which based on the internetwork. By this method, the shared software and hardware resources and information can provide to the computers and other equipment by requirements. The core idea of cloud computing is uniformly managing and scheduling the computing resources connected by the large number of networks and constituting a computing resources pool to serve for the customers according to the needs. The network for providing resources is called Cloud, with good expandability, high reliability and low initial investment and it can gradually increase the investment according to customers needs.This paper firstly introduces the relevant background of user data fusion and cloud computing; secondly it introduces the overall design schemes obtained by the existing research based on the user data fusion and cloud computing; next it further introduces the user data fusion, architecture of cloud computing schemes, the functional design and key process of each module; finally it looks far ahead into the user data fusion and cloud computing scheme.更多还原