本文關(guān)鍵詞： 內(nèi)容中心網(wǎng)絡(luò) 流媒體 內(nèi)容分發(fā) 節(jié)點(diǎn)協(xié)助　出處：《北京郵電大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：隨著寬帶互聯(lián)網(wǎng)技術(shù)和多媒體技術(shù)的發(fā)展,面向大規(guī)模用戶的流媒體視頻服務(wù)已經(jīng)成為當(dāng)今互聯(lián)網(wǎng)上最流行的應(yīng)用之一,如何有效地進(jìn)行流媒體內(nèi)容的大規(guī)模傳輸已成為網(wǎng)絡(luò)運(yùn)營商面臨的主要挑戰(zhàn)。由美國Palo Alto研究中心提出的內(nèi)容中心網(wǎng)絡(luò)(Content Centric Networking, CCN)是一種新型的以內(nèi)容為中心的網(wǎng)絡(luò)體系結(jié)構(gòu),引入了路由緩存和請求聚合的機(jī)制優(yōu)化互聯(lián)網(wǎng)內(nèi)容分發(fā),所有內(nèi)容可以在網(wǎng)絡(luò)中的任何CCN節(jié)點(diǎn)處緩存,以滿足其他節(jié)點(diǎn)的內(nèi)容需求,相對(duì)于目前的TCP/IP網(wǎng)絡(luò),與底層網(wǎng)絡(luò)拓?fù)渎?lián)系更緊密的CCN網(wǎng)絡(luò)更適合進(jìn)行大規(guī)模流媒體內(nèi)容分發(fā)。 但目前的CCN流媒體內(nèi)容分發(fā)仍類似C／S架構(gòu),路由緩存空間有限,用戶間缺乏交互,網(wǎng)絡(luò)中仍會(huì)存在過多的冗余流量�，F(xiàn)有的些優(yōu)化方案集中于提升CCN節(jié)點(diǎn)的緩存空間利用率和命中率等,在定程度上優(yōu)化了內(nèi)容傳輸效率,但帶來了過高的迭代代價(jià),同時(shí)也沒有考慮流媒體業(yè)務(wù)對(duì)實(shí)時(shí)性的要求以及用戶訪問特性。因此有必要對(duì)CCN流媒體內(nèi)容分發(fā)技術(shù)進(jìn)行進(jìn)一步的研究。 本文在CCN網(wǎng)絡(luò)內(nèi)容分發(fā)機(jī)制的基礎(chǔ)上,從優(yōu)化網(wǎng)絡(luò)性能和應(yīng)用性能的角度對(duì)CCN流媒體內(nèi)容分發(fā)機(jī)制進(jìn)行研究,引入了P2P節(jié)點(diǎn)共享的思想,提出一種在CCN網(wǎng)絡(luò)中基于用戶節(jié)點(diǎn)協(xié)助的流媒體內(nèi)容分發(fā)(PAS over CCN, Peer-assisted Streaming over CCN)方案,由用戶節(jié)點(diǎn)協(xié)助提供流媒體資源的緩存和共享,由位于網(wǎng)絡(luò)邊緣的CCN路由節(jié)點(diǎn)充當(dāng)類似P2P系統(tǒng)中Tracker的角色,記錄本地用戶節(jié)點(diǎn)緩存的資源信息,并對(duì)邊緣CCN路由節(jié)點(diǎn)模型進(jìn)行改進(jìn)以支持用戶節(jié)點(diǎn)協(xié)助的緩存機(jī)制。最后,本文通過仿真驗(yàn)證了本方案在優(yōu)化網(wǎng)絡(luò)流量、降低源服務(wù)器負(fù)載和提升應(yīng)用性能方面的優(yōu)勢。 本文首先分析了CCN流媒體研究現(xiàn)狀和不足,然后詳細(xì)描述了本文提出的基于用戶節(jié)點(diǎn)協(xié)助的流媒體內(nèi)容分發(fā)方案,最后介紹了基于OmNeT++的仿真環(huán)境的設(shè)計(jì)和實(shí)現(xiàn)以及對(duì)方案性能的評(píng)估。
[Abstract]:With the development of broadband Internet technology and multimedia technology, streaming video service for large-scale users has become one of the most popular applications on the Internet. How to effectively transmit streaming media content on a large scale has become a major challenge for network operators. Content Centric networking, proposed by the Palo Alto Research Center in the United States, is a new content-centric network architecture. Routing caching and request aggregation mechanisms are introduced to optimize Internet content distribution. All content can be cached at any CCN node in the network to meet the content requirements of other nodes, as opposed to the current TCP/IP network. The CCN network, which is more closely connected with the underlying network topology, is more suitable for mass streaming media content distribution. However, the current CCN streaming media content distribution is still similar to the C / S architecture, the routing cache space is limited, and there is no interaction between users. There is still too much redundant traffic in the network. The existing optimization schemes focus on improving the cache space utilization and hit rate of CCN nodes, which optimizes the efficiency of content transmission to a certain extent, but brings too high iterative cost. At the same time, the real-time requirements and user access characteristics of streaming media services are not considered, so it is necessary to further study the CCN streaming media content distribution technology. Based on the CCN network content distribution mechanism, this paper studies the CCN streaming media content distribution mechanism from the point of view of optimizing network performance and application performance, and introduces the idea of P2P node sharing. In this paper, a scheme of streaming media content distribution (pas over, Peer-assisted Streaming over CCN) based on the assistance of user nodes in CCN network is proposed, in which user nodes assist in providing caching and sharing of streaming media resources. The CCN routing node located on the edge of the network acts as the role of Tracker in P2P system, records the resource information of the local user node cache, and improves the edge CCN routing node model to support the caching mechanism assisted by the user node. In this paper, the advantages of this scheme in optimizing network traffic, reducing source server load and improving application performance are verified by simulation. This paper first analyzes the current situation and shortcomings of CCN streaming media research, and then describes the proposed streaming media content distribution scheme based on user node assistance in detail. Finally, the design and implementation of simulation environment based on OmNeT and the evaluation of scheme performance are introduced.
【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
【分類號(hào)】：TP393.02

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本文編號(hào)：1544333