内容中心网络用户兴趣数据分析与处理系统研究
发布时间：2018-07-28 08:30
【摘要】：用户兴趣反映了用户对资源的请求意向,掌握用户兴趣有利于资源部署的优化,提高用户体验。传统TCP/IP网络中,用户兴趣数据由不同的网络内容提供商所有,结构各异,因此很难获得用户兴趣数据的全局视角。内容中心网络(Content-Centric Network,简称CCN)是以内容为中心的网络,解决了现有网络移动性差、可靠性差、灵活性差、不安全等问题。它对数据块进行命名,并依据其名称转发数据块。数据块的名称采用分级制,并且携带自身内容的来源和特点信息。 本文设计实现了一个内容中心网络用户兴趣数据处理与分析系统(ASystem for Process and Analysis of Interest Data in Content-Centric Network,简称婀PAID),该系统收集CCN网络中的用户兴趣数据,并对这些数据进行处理分析,进而观察和预测用户兴趣变化,最后将结果用于优化网络资源部署、热点内容推荐,使网络更高效、更智能。 本文的实验环节验证了SPAID系统的可用性,并用它对某视频网站的真实用户兴趣数据进行分析实践。 最后,对本文的研究工作取得的成果及不足之处进行了总结,提出了未来的研究方向。
[Abstract]:User interest reflects the user's intention to request resources. Mastering user interest is beneficial to the optimization of resource deployment and the improvement of user experience. In traditional TCP/IP networks, user interest data are owned by different network content providers and have different structures, so it is difficult to obtain the global perspective of user interest data. Content-Centric Network (CCN) is a content-centric network, which solves the problems of poor mobility, poor reliability, poor flexibility, insecurity and so on. It names the data block and forwards the data block by its name. The names of data blocks are hierarchical and carry information about the source and characteristics of their content. This paper designs and implements a content center network user interest data processing and analysis system, called (ASystem for Process and Analysis of Interest Data in Content-Centric Network, which collects user interest data in CCN network, and processes and analyzes these data. Finally, the results are used to optimize the deployment of network resources, recommend hot content, and make the network more efficient and intelligent. The experiment in this paper verifies the usability of SPAID system and uses it to analyze the real user interest data of a video website. Finally, the research achievements and shortcomings of this paper are summarized, and the future research direction is proposed.
【学位授予单位】：北京邮电大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP393.0
[Abstract]:User interest reflects the user's intention to request resources. Mastering user interest is beneficial to the optimization of resource deployment and the improvement of user experience. In traditional TCP/IP networks, user interest data are owned by different network content providers and have different structures, so it is difficult to obtain the global perspective of user interest data. Content-Centric Network (CCN) is a content-centric network, which solves the problems of poor mobility, poor reliability, poor flexibility, insecurity and so on. It names the data block and forwards the data block by its name. The names of data blocks are hierarchical and carry information about the source and characteristics of their content. This paper designs and implements a content center network user interest data processing and analysis system, called (ASystem for Process and Analysis of Interest Data in Content-Centric Network, which collects user interest data in CCN network, and processes and analyzes these data. Finally, the results are used to optimize the deployment of network resources, recommend hot content, and make the network more efficient and intelligent. The experiment in this paper verifies the usability of SPAID system and uses it to analyze the real user interest data of a video website. Finally, the research achievements and shortcomings of this paper are summarized, and the future research direction is proposed.
【学位授予单位】：北京邮电大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP393.0
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