基于內(nèi)容感知和智能決策的移動網(wǎng)絡加速系統(tǒng)的研究與實現(xiàn)
發(fā)布時間:2018-01-28 19:36
本文關鍵詞: 內(nèi)容感知 網(wǎng)絡架構 智能決策 本地代理 出處:《北京郵電大學》2014年碩士論文 論文類型:學位論文
【摘要】:隨著移動互聯(lián)網(wǎng)的迅速發(fā)展,使用手機等移動終端進行移動上網(wǎng)的網(wǎng)民越來越多。與此同時,移動網(wǎng)絡帶寬資源變得日益緊張,而且對網(wǎng)絡的優(yōu)化也變得更加困難和復雜。如何在現(xiàn)有網(wǎng)絡帶寬的基礎上有效地對移動網(wǎng)絡進行優(yōu)化是移動互聯(lián)網(wǎng)發(fā)展的關鍵問題,具有很重要的現(xiàn)實意義。 目前針對移動網(wǎng)絡的優(yōu)化和加速問題,理論研究的重點主要側(cè)重于對各種移動網(wǎng)絡加速技術以及新型的網(wǎng)絡架構的研究,但是移動平臺上相關的應用產(chǎn)品還處于起步階段。本文通過創(chuàng)新性地融合多種網(wǎng)絡加速技術以及合理的網(wǎng)絡架構設計進而實現(xiàn)一個移動網(wǎng)絡加速系統(tǒng)。 首先,在研究和分析了現(xiàn)有的內(nèi)容網(wǎng)絡架構和面向未來的網(wǎng)絡架構的基礎上,提煉出了一個具備內(nèi)容感知能力的移動網(wǎng)絡部署架構。這個架構通過在現(xiàn)網(wǎng)基礎上增加用戶層、邊緣代理服務層和控制中心服務層,并采用了基于最近訪問和有限多徑探測的資源定位算法,在應用層打造一個基于內(nèi)容的感知層來對用戶的網(wǎng)絡請求進行全方位的感知。 其次,在上述內(nèi)容感知網(wǎng)絡架構的基礎上,針對不同的網(wǎng)絡請求融合了多種網(wǎng)絡加速方法。并且針對這些不同特點和適用情況的加速技術,在用戶層移動端本地代理和邊緣代理服務層上分別設計了配套的智能決策流程。這樣達到對每一個網(wǎng)絡請求靈活地使用相應的優(yōu)化方案,提升系統(tǒng)的智能性。 最后,.基于內(nèi)容感知和智能決策的功能,主要在Android移動平臺上設計和實現(xiàn)了高性能且穩(wěn)定的移動端本地代理應用,和后臺部署的服務器一起完成了整體的加速功能。這個Android應用具有靈活配置功能以及良好的用戶交互接口,帶來了良好的用戶體驗。
[Abstract]:With the rapid development of mobile Internet, more and more Internet users use mobile terminals such as mobile phones to access the Internet. At the same time, the bandwidth resources of mobile network become increasingly tight. How to optimize the mobile network effectively on the basis of the existing network bandwidth is a key issue in the development of the mobile Internet, which has a very important practical significance. At present, for the optimization and acceleration of mobile networks, the focus of theoretical research is mainly on the various mobile network acceleration technologies and new network architecture. However, the related application products on mobile platform are still in their infancy. In this paper, a mobile network acceleration system is implemented through the innovative integration of various network acceleration technologies and reasonable network architecture design. First of all, based on the research and analysis of the existing content network architecture and future-oriented network architecture. A content-aware mobile network deployment architecture is developed, which adds user layer, edge agent service layer and control center service layer to the current network. The resource location algorithm based on recent access and finite multipath detection is used to create a content-based awareness layer in the application layer to fully perceive the users' network requests. Secondly, on the basis of the above content aware network architecture, a variety of network acceleration methods are integrated for different network requests, and according to these different characteristics and applicable acceleration technology. The corresponding intelligent decision flow is designed on the mobile local agent and edge agent service layer of the user layer, which can flexibly use the corresponding optimization scheme for each network request and enhance the intelligence of the system. Finally, based on the function of content awareness and intelligent decision, the high performance and stable local agent application of mobile side is designed and implemented on Android mobile platform. The Android application has a flexible configuration function and a good user interaction interface, which brings a good user experience.
【學位授予單位】:北京郵電大學
【學位級別】:碩士
【學位授予年份】:2014
【分類號】:TP393.01;TN929.5
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