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基于云平臺(tái)的多約束流媒體內(nèi)容分發(fā)方法研究

發(fā)布時(shí)間:2019-03-05 08:12
【摘要】:下一代互聯(lián)網(wǎng)中,隨著寬帶和web2.0的發(fā)展,IPTV、VoD、高清視頻等流媒體應(yīng)用逐漸成為寬帶應(yīng)用的主流。流媒體應(yīng)用所具有的高帶寬、高訪問(wèn)量和高服務(wù)質(zhì)量要求對(duì)以盡力而為為核心的互聯(lián)網(wǎng)提出了巨大的挑戰(zhàn)。然而內(nèi)容分發(fā)網(wǎng)絡(luò)CDN(Content Delivery Network)由于資源采用靜態(tài)部署方式,會(huì)導(dǎo)致資源部署不足或資源浪費(fèi)的問(wèn)題。而利用P2P(Peer to Peer)進(jìn)行流媒體分發(fā),由于P2P網(wǎng)絡(luò)節(jié)點(diǎn)的來(lái)去自如,會(huì)造成服務(wù)質(zhì)量的不穩(wěn)定。 云計(jì)算作為一種新型的網(wǎng)絡(luò)化計(jì)算模式,以按需付費(fèi)為商業(yè)模式,可為用戶(hù)提供幾乎無(wú)限可擴(kuò)展的共享虛擬化資源,這種彈性計(jì)算的特性為解決上述CDN和P2P所面臨的問(wèn)題提供了機(jī)會(huì)。構(gòu)建在云平臺(tái)之上的流媒體分發(fā)系統(tǒng),能夠解決傳統(tǒng)分發(fā)存在的問(wèn)題,同時(shí)可顯著降低流媒體應(yīng)用提供商的運(yùn)營(yíng)成本,因而受到廣泛的關(guān)注。 構(gòu)建基于云平臺(tái)的流媒體分發(fā)系統(tǒng),需要面對(duì)來(lái)自各個(gè)地理區(qū)域大量高度動(dòng)態(tài)的需求,為保證服務(wù)質(zhì)量需要就近采用各區(qū)域中多個(gè)云服務(wù)提供商的數(shù)據(jù)中心,即需要基于分布式云數(shù)據(jù)中心架構(gòu)(以下簡(jiǎn)稱(chēng)分布式云)來(lái)構(gòu)建專(zhuān)門(mén)面向流媒體應(yīng)用的分發(fā)網(wǎng)絡(luò)。本文針對(duì)典型的多信道和多用戶(hù)區(qū)域的應(yīng)用場(chǎng)景,對(duì)基于分布式云的分發(fā)網(wǎng)絡(luò)的建立和內(nèi)容分發(fā)算法進(jìn)行研究,考慮了分發(fā)拓?fù)、各云?shù)據(jù)中心計(jì)費(fèi)方式、用戶(hù)位置和請(qǐng)求速率等因素,通過(guò)將其建模為有向斯坦納樹(shù),給出的內(nèi)容分發(fā)算法能為用戶(hù)提供服務(wù)質(zhì)量滿(mǎn)足的流媒體服務(wù),并降低分發(fā)的開(kāi)銷(xiāo)和代價(jià)。算法經(jīng)過(guò)在matlab和yalmip線性規(guī)劃工具箱的運(yùn)行環(huán)境下進(jìn)行驗(yàn)證和性能分析,結(jié)果顯示在不同的拓?fù)湎,給出的啟發(fā)式算法均能以較低的時(shí)間復(fù)雜度獲得近優(yōu)解,可方便地應(yīng)用于商業(yè)的流媒體內(nèi)容分發(fā)系統(tǒng)。
[Abstract]:With the development of broadband and web2.0, streaming media applications such as IPTV,VoD, HD video have gradually become the mainstream of broadband applications in the next generation Internet. Streaming media applications with high bandwidth, high access and high quality of service requirements pose a great challenge to the best-effort Internet. However, due to the static deployment of resources in content distribution network (CDN (Content Delivery Network), it will lead to the problem of insufficient deployment of resources or waste of resources. Because P2P network nodes come and go freely, the quality of service will be unstable when P2P (Peer to Peer) is used to distribute streaming media. Cloud computing as a new network computing model, pay-on-demand as a business model, can provide users with virtually unlimited scalability of shared virtualization resources. This kind of elastic computing provides an opportunity to solve the problems faced by CDN and P2P. Streaming media distribution system based on cloud platform can solve the problems existing in traditional distribution and significantly reduce the operating costs of streaming media application providers. To build a streaming media distribution system based on cloud platform, we need to face a large number of highly dynamic needs from various geographic regions, and to ensure the quality of service, we need to adopt the data center of multiple cloud service providers in each region in order to ensure the quality of service. That is, the distributed cloud data center architecture (hereafter referred to as distributed cloud) is needed to build a distribution network for streaming media applications. In this paper, for the typical multi-channel and multi-user application scenario, the establishment of distributed cloud-based distribution network and content distribution algorithm are studied, and the distribution topology and the billing methods of cloud data centers are considered. User location and request rate are modeled as directed Steiner tree. The proposed content distribution algorithm can provide streaming media service satisfying quality of service to users and reduce the overhead and cost of distribution. The algorithm is verified and analyzed under the running environment of matlab and Yalmip Linear programming Toolbox. The results show that under different topologies, the heuristic algorithm can get the near-solution with low time complexity. Can be easily applied to commercial streaming media content distribution system.
【學(xué)位授予單位】:鄭州大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類(lèi)號(hào)】:TP393.02

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