【摘要】：用戶興趣反映了用戶對(duì)資源的請(qǐng)求意向,掌握用戶興趣有利于資源部署的優(yōu)化,提高用戶體驗(yàn)。傳統(tǒng)TCP/IP網(wǎng)絡(luò)中,用戶興趣數(shù)據(jù)由不同的網(wǎng)絡(luò)內(nèi)容提供商所有,結(jié)構(gòu)各異,因此很難獲得用戶興趣數(shù)據(jù)的全局視角。內(nèi)容中心網(wǎng)絡(luò)(Content-Centric Network,簡(jiǎn)稱CCN)是以內(nèi)容為中心的網(wǎng)絡(luò),解決了現(xiàn)有網(wǎng)絡(luò)移動(dòng)性差、可靠性差、靈活性差、不安全等問(wèn)題。它對(duì)數(shù)據(jù)塊進(jìn)行命名,并依據(jù)其名稱轉(zhuǎn)發(fā)數(shù)據(jù)塊。數(shù)據(jù)塊的名稱采用分級(jí)制,并且攜帶自身內(nèi)容的來(lái)源和特點(diǎn)信息。 本文設(shè)計(jì)實(shí)現(xiàn)了一個(gè)內(nèi)容中心網(wǎng)絡(luò)用戶興趣數(shù)據(jù)處理與分析系統(tǒng)(ASystem for Process and Analysis of Interest Data in Content-Centric Network,簡(jiǎn)稱婀PAID),該系統(tǒng)收集CCN網(wǎng)絡(luò)中的用戶興趣數(shù)據(jù),并對(duì)這些數(shù)據(jù)進(jìn)行處理分析,進(jìn)而觀察和預(yù)測(cè)用戶興趣變化,最后將結(jié)果用于優(yōu)化網(wǎng)絡(luò)資源部署、熱點(diǎn)內(nèi)容推薦,使網(wǎng)絡(luò)更高效、更智能。 本文的實(shí)驗(yàn)環(huán)節(jié)驗(yàn)證了SPAID系統(tǒng)的可用性,并用它對(duì)某視頻網(wǎng)站的真實(shí)用戶興趣數(shù)據(jù)進(jìn)行分析實(shí)踐。 最后,對(duì)本文的研究工作取得的成果及不足之處進(jìn)行了總結(jié),提出了未來(lái)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.
【學(xué)位授予單位】：北京郵電大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類(lèi)號(hào)】：TP393.0

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