本文選題：性能評(píng)估 + 視頻服務(wù)�。� 參考：《北京郵電大學(xué)》2014年碩士論文

【摘要】：如今我們已經(jīng)進(jìn)入信息共享時(shí)代,伴隨而來(lái)的是網(wǎng)絡(luò)流量的飛速增長(zhǎng)和用戶對(duì)高清流媒體服務(wù)日益增長(zhǎng)的需求。依托于智能光網(wǎng)絡(luò)所提供的巨大帶寬和智能管控能力,結(jié)合了視頻服務(wù)的特性及其實(shí)現(xiàn)機(jī)制,面向視頻服務(wù)的智能光網(wǎng)絡(luò)正在如火如茶地進(jìn)行中。 目前的網(wǎng)絡(luò)性能評(píng)估方法是基于視頻服務(wù)性能評(píng)估和光網(wǎng)絡(luò)性能評(píng)估這兩個(gè)方面進(jìn)行的。視頻服務(wù)性能評(píng)估主要是基于主觀層面的流媒體視頻質(zhì)量評(píng)估和客觀層面的視頻流傳輸質(zhì)量測(cè)試進(jìn)行的；光網(wǎng)絡(luò)性能評(píng)估則是基于已有的測(cè)試標(biāo)準(zhǔn)進(jìn)行的,它主要關(guān)注的是光網(wǎng)絡(luò)的底層性能參數(shù),如眼圖、鏈路損耗、業(yè)務(wù)建拆路時(shí)延等。然而,這兩個(gè)方面是兩個(gè)相對(duì)平行的研究對(duì)象,并不能對(duì)一套面向視頻服務(wù)的智能光網(wǎng)絡(luò)系統(tǒng)進(jìn)行綜合性能的評(píng)估。由此帶來(lái)的直接影響是對(duì)所建設(shè)的網(wǎng)絡(luò)不能得到綜合性能評(píng)估數(shù)據(jù),這進(jìn)一步將導(dǎo)致大量資源的浪費(fèi)而且不能為以后的網(wǎng)絡(luò)建設(shè)提供指導(dǎo)依據(jù)。 為了有效地解決這一問(wèn)題,本論文提出了一套面向視頻服務(wù)的、基于智能光網(wǎng)絡(luò)架構(gòu)的性能評(píng)估方法。課題通過(guò)對(duì)傳統(tǒng)視頻服務(wù)性能評(píng)估和傳統(tǒng)光網(wǎng)絡(luò)性能評(píng)估的研究,結(jié)合面向視頻服務(wù)的智能光網(wǎng)絡(luò)的特性、體系架構(gòu)和實(shí)現(xiàn)機(jī)制,借鑒0SI/IS0模型,提出了一種綜合性能評(píng)估方法。該評(píng)估方法由五個(gè)層面組成,可以達(dá)到從多個(gè)層次、多個(gè)角度分析網(wǎng)絡(luò)性能的效果。 最后,基于實(shí)驗(yàn)室課題組搭建完成的面向視頻服務(wù)的智能光網(wǎng)絡(luò)平臺(tái),本論文運(yùn)用所提出的綜合性能評(píng)估方法對(duì)其展開(kāi)了評(píng)測(cè)實(shí)施,以實(shí)現(xiàn)對(duì)該性能評(píng)估方法的驗(yàn)證,并期望對(duì)其他網(wǎng)絡(luò)系統(tǒng)的評(píng)估提供參考依據(jù)。
[Abstract]:Now we have entered the era of information sharing, accompanied by the rapid growth of network traffic and the growing demand of users for HD streaming media services. Relying on the huge bandwidth and intelligent control ability provided by the intelligent optical network, and combining the characteristics of the video service and its implementation mechanism, the intelligent optical network for the video service is in progress as hot as tea. Current network performance evaluation methods are based on two aspects: video service performance evaluation and optical network performance evaluation. The performance evaluation of video service is mainly based on the subjective quality evaluation of streaming media and the quality test of video streaming transmission on the objective level, while the performance evaluation of optical network is based on the existing test standards. It mainly focuses on the underlying performance parameters of optical networks, such as eye diagram, link loss, delay in building and disconnecting services, and so on. However, these two aspects are two relatively parallel research objects, which can not evaluate the comprehensive performance of a video service-oriented intelligent optical network system. The direct impact is that the constructed network can not get the comprehensive performance evaluation data, which will further lead to the waste of a large number of resources and can not provide guidance for the future network construction. In order to solve this problem effectively, this paper proposes a performance evaluation method based on intelligent optical network architecture for video service. Through the research of traditional video service performance evaluation and traditional optical network performance evaluation, combining the characteristics, architecture and implementation mechanism of video service-oriented intelligent optical network, a comprehensive performance evaluation method is proposed based on 0SI/IS0 model. The evaluation method is composed of five layers and can be used to analyze the network performance from multiple levels and angles. Finally, based on the intelligent optical network platform for video service set up by the lab team, this paper uses the proposed comprehensive performance evaluation method to evaluate and implement it to realize the verification of the performance evaluation method. It is expected to provide reference for the evaluation of other network systems.
【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)】：TP393.06

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