本文選題：用戶數(shù)據(jù)融合　切入點：云計算　出處：《北京郵電大學》2013年碩士論文

【摘要】：隨著通信技術(shù),互聯(lián)網(wǎng)技術(shù)的不斷發(fā)展,通信與網(wǎng)絡逐步滲透到生活與工作,并通過豐富多樣的通信業(yè)務及互聯(lián)網(wǎng)業(yè)務改變?nèi)藗兊纳罟ぷ髁晳T。用戶對業(yè)務的需求因而提升,對通信、互聯(lián)網(wǎng)業(yè)務提出了新的需求,個性化服務和專家級信息服務成為必然趨勢。其基礎,來自用戶在使用多樣的通信業(yè)務,互聯(lián)網(wǎng)業(yè)務中產(chǎn)生的海量數(shù)據(jù)。然而,用戶信息分散,用戶及業(yè)務提供者都無法在海量信息面前準確高效的獲取所需要的信息,用戶數(shù)據(jù)融合也應運而生。用戶數(shù)據(jù)所處的領域不同,在不同網(wǎng)絡、業(yè)務中的標識不同,數(shù)據(jù)格式不同,數(shù)據(jù)量不同,對時延可靠性要求不同,可擴展性要求不同,都對用戶數(shù)據(jù)融合的存儲方案產(chǎn)生了挑戰(zhàn)。因而需要對用戶數(shù)據(jù)融合的存儲方案進行深入的研究。 傳統(tǒng)的電信架構(gòu)存儲方案,由于用戶數(shù)據(jù)所處領域不同,在不同網(wǎng)絡、業(yè)務總標識不同,需要大量的標識數(shù)據(jù)和數(shù)據(jù)路由數(shù)據(jù),由于對海量數(shù)據(jù)的訪問,龐大的路由表導致數(shù)據(jù)路由可能會成為數(shù)據(jù)訪問的瓶頸,數(shù)據(jù)路由可能需要采用全國、省級兩層數(shù)據(jù)路由機制。與此同時,一種新的方案,云計算為用戶數(shù)據(jù)融合提供了一種新的思路。云計算(cloud computing),是一種基于互聯(lián)網(wǎng)的計算方式,通過這種方式,共享的軟硬件資源和信息可以按需提供給計算機和其他設備。云計算的核心思想,是將大量用網(wǎng)絡連接的計算資源統(tǒng)一管理和調(diào)度,構(gòu)成一個計算資源池向用戶按需服務。提供資源的網(wǎng)絡被稱為“云”。其可擴展性好可靠性高,初始投資較低,并且可以根據(jù)用戶需求逐步增加投資。 本文首先介紹了用戶數(shù)據(jù)融合和云計算的相關(guān)背景其次介紹了基于用戶數(shù)據(jù)融合和云計算現(xiàn)有研究得到的總體設計方案,再次深入介紹了用戶數(shù)據(jù)融合云計算方案的架構(gòu)和各模塊的功能設計及關(guān)鍵流程。最后對用戶數(shù)據(jù)融合云計算方案進行了展望。
[Abstract]:With the continuous development of communication technology and Internet technology, communication and network gradually infiltrate into life and work, and change people's life and work habits through rich and diverse communication services and Internet services. New requirements for communication and Internet services have been put forward. Personalized services and expert level information services have become the inevitable trend. Its foundation comes from the massive data generated by users in using a variety of communication services and Internet services. However, User information is dispersed, users and service providers are unable to accurately and efficiently obtain the required information in front of mass information, and user data fusion also arises at the historic moment. The domain of user data is different, in different networks. Different identifiers, different data formats, different data volumes, different requirements for delay reliability, different scalability requirements, Therefore, it is necessary to study the storage scheme of user data fusion deeply. The traditional telecommunication architecture storage scheme, because of the different domain of user data, in different networks, the total service identification is different, which requires a lot of identification data and data routing data, because of the access to the massive data. The huge routing table may cause data routing to become the bottleneck of data access, and data routing may need to adopt national and provincial two layers of data routing mechanism. At the same time, a new scheme, Cloud computing provides a new way of thinking for user data fusion. Cloud computing is an Internet-based computing method. Shared software and hardware resources and information can be provided to computers and other devices as needed. The core idea of cloud computing is to unify the management and scheduling of a large number of computing resources connected by networks. The network that provides resources is called "cloud". It has good expansibility, high reliability, low initial investment, and can increase investment step by step according to the needs of users. This paper first introduces the background of user data fusion and cloud computing. Secondly, it introduces the overall design scheme based on user data fusion and cloud computing. Thirdly, the architecture of user data fusion cloud computing scheme and the function design and key flow of each module are introduced in depth. Finally, the prospect of user data fusion cloud computing scheme is presented.
【學位授予單位】：北京郵電大學
【學位級別】：碩士
【學位授予年份】：2013
【分類號】：TP333

【參考文獻】

相關(guān)期刊論文 前10條

1 汪承義;趙忠明;;遙感影像流程化處理系統(tǒng)的設計與實現(xiàn)[J];測繪科學;2006年06期

2 呂蓬;張立朝;王耿峰;;空間數(shù)據(jù)融合在海圖中的應用[J];測繪通報;2007年11期

3 王光鼎;張升康;楊汝良;;基于北斗無源與GLONASS導航系統(tǒng)的衛(wèi)星組合導航用戶位置計算[J];測繪學報;2007年04期

4 趙俊華;文福拴;薛禹勝;林振智;;云計算:構(gòu)建未來電力系統(tǒng)的核心計算平臺[J];電力系統(tǒng)自動化;2010年15期

5 胡小菁;范并思;;云計算給圖書館管理帶來挑戰(zhàn)[J];大學圖書館學報;2009年04期

6 劉斌;楊俊安;;基于數(shù)據(jù)融合的加權(quán)合作頻譜感知技術(shù)[J];電子技術(shù)應用;2008年12期

7 張堯?qū)W;周悅芝;;一種云計算操作系統(tǒng)TransOS:基于透明計算的設計與實現(xiàn)[J];電子學報;2011年05期

8 陳亞睿;田立勤;楊揚;;云計算環(huán)境下基于動態(tài)博弈論的用戶行為模型與分析[J];電子學報;2011年08期

9 游松,王田苗,朱廣超,丑武勝,張啟先;基于網(wǎng)絡的空間機器人遙操作體系結(jié)構(gòu)[J];高技術(shù)通訊;2000年01期

10 吳楠;朱斌;;移動核心網(wǎng)用戶數(shù)據(jù)融合演進策略[J];電信工程技術(shù)與標準化;2012年04期

，

本文編號：1679765