融合型內(nèi)容分發(fā)網(wǎng)絡(luò)關(guān)鍵技術(shù)研究
本文選題:覆蓋網(wǎng) 切入點(diǎn):內(nèi)容分發(fā)網(wǎng)絡(luò) 出處:《哈爾濱工業(yè)大學(xué)》2014年博士論文
【摘要】:Internet流量指數(shù)性增長(zhǎng)以及用戶對(duì)網(wǎng)絡(luò)速度的需求已促使網(wǎng)絡(luò)資源分發(fā)的可用性、可靠性等成為互聯(lián)網(wǎng)技術(shù)的關(guān)鍵問題。內(nèi)容分發(fā)網(wǎng)絡(luò)作為運(yùn)行于整個(gè)互聯(lián)網(wǎng)上的覆蓋網(wǎng),主要致力于互聯(lián)網(wǎng)中的服務(wù)質(zhì)量?jī)?yōu)化。隨著云計(jì)算、移動(dòng)互聯(lián)網(wǎng)及動(dòng)態(tài)網(wǎng)絡(luò)內(nèi)容技術(shù)的推進(jìn),內(nèi)容分發(fā)技術(shù)逐步趨向于專業(yè)化、定制化,在內(nèi)容路由、管理、推送以及安全性都面臨新的挑戰(zhàn)。本文從運(yùn)營(yíng)商角度出發(fā),考慮流量結(jié)算成本、提升數(shù)據(jù)傳輸服務(wù)質(zhì)量以及安全性三個(gè)方面對(duì)融合型CDN(Content Delivery Networks)進(jìn)行研究。 首先,考慮ISP(Internet Service Provider)的域內(nèi)用戶訪問域外網(wǎng)絡(luò)資源所產(chǎn)生的大量可存儲(chǔ)數(shù)據(jù)由于被大量多次訪問從而造成域間流量成本驟增,同時(shí)由于域內(nèi)鏈路重復(fù)流量也導(dǎo)致傳輸服務(wù)的下降。針對(duì)該問題,本文首先提出針對(duì)ISP-CDN的內(nèi)容節(jié)點(diǎn)兩層部署機(jī)制,該部署機(jī)制分為兩層,外層部署于域間出入口以降低域間流量,內(nèi)層的部署策略采用基于貪心的網(wǎng)絡(luò)流量代價(jià)算法對(duì)核心節(jié)點(diǎn)進(jìn)行選取。并在此基礎(chǔ)上設(shè)計(jì)基于RCBF(Record Counter Bloom Filter)的索引結(jié)構(gòu)與同步機(jī)制,從而改進(jìn)CDN的內(nèi)容路由策略,提升融合型CDN的服務(wù)性能。 第二,本文進(jìn)一步研究?jī)?nèi)容數(shù)據(jù)的管理問題。由于內(nèi)容節(jié)點(diǎn)位置固定后,如何對(duì)所存儲(chǔ)內(nèi)容進(jìn)行管理是內(nèi)容分發(fā)技術(shù)中的重要問題。內(nèi)容管理主要分為兩個(gè)方面:緩存管理與內(nèi)容推送。本文首先提出基于訪問間隔的替換策略,提高熱度高的緩存對(duì)象在緩存空間中的生命周期;其次考慮到這些被訪問的數(shù)據(jù)均依賴于用戶自身的行為,在協(xié)議層對(duì)數(shù)據(jù)進(jìn)行深入分析,提出多維度的緩存對(duì)象熱度評(píng)價(jià)算法,進(jìn)一步提升緩存命中率;最后提出一種基于價(jià)值度的熱點(diǎn)數(shù)據(jù)推送策略,在所部署的節(jié)點(diǎn)間進(jìn)行有效的內(nèi)容預(yù)分發(fā),降低用戶的訪問延時(shí),,改善網(wǎng)絡(luò)性能。 第三,融合型CDN主要面對(duì)ISP域內(nèi)用戶,為了提升服務(wù)質(zhì)量,降低CDN所面對(duì)的潛在網(wǎng)絡(luò)威脅,如何結(jié)合ISP所擁有的拓?fù)浜陀脩舻臄?shù)據(jù)優(yōu)勢(shì),建立域內(nèi)用戶的可信機(jī)制是融合型CDN所面臨的全新問題。本文提出基于信任的網(wǎng)絡(luò)群體分類模型,結(jié)合對(duì)ISP所獲取的用戶行為數(shù)據(jù),實(shí)現(xiàn)對(duì)用戶的自動(dòng)化分類,并采用傳統(tǒng)檢測(cè)方法設(shè)置用戶類別可信度,以此構(gòu)建可信融合型CDN。該模型首先使用網(wǎng)絡(luò)交互拓?fù)湫畔⒔⒕W(wǎng)絡(luò)節(jié)點(diǎn)間的信任矩陣;進(jìn)而結(jié)合直接信任度和相關(guān)信任度計(jì)算網(wǎng)絡(luò)節(jié)點(diǎn)間的相似度,進(jìn)行用戶分類;最后根據(jù)可信度對(duì)不同類別的用戶進(jìn)行差異化服務(wù),提升低可信度的攻擊代價(jià),從而降低CDN所面臨的網(wǎng)絡(luò)風(fēng)險(xiǎn)。 最后,本文提出了一種ISP融合的內(nèi)容分發(fā)系統(tǒng),該系統(tǒng)與傳統(tǒng)的CDN系統(tǒng)有一定的區(qū)別:1、被動(dòng)解析存儲(chǔ)與層次化部署;2、安全預(yù)警。整個(gè)系統(tǒng)主要分為四個(gè)模塊:信息采集、緩存管理、節(jié)點(diǎn)通信與離線審計(jì)。通過(guò)在實(shí)際系統(tǒng)中對(duì)本文提出的內(nèi)容部署、管理及用戶分類進(jìn)行具體測(cè)試,實(shí)現(xiàn)了本文最初的研究目標(biāo)。
[Abstract]:The availability of Internet flow index and user demand for network speed has prompted the cyber source distribution, reliability has become the key problem of Internet technology. The content distribution network as the overlay network running on the Internet, the Internet is committed to the quality of service optimization. With cloud computing, mobile Internet and dynamic web content the advance of technology, technology tends to specialization, content distribution customization, management, push content routing, and security are facing new challenges. This paper from the view of operators, considering the traffic cost, enhance the data transmission quality of service and security of the three aspects of the integration of CDN (Content Delivery Networks) to study.
First, consider the ISP (Internet Service Provider) a large number of data can be stored by a large number of visits resulting in inter domain traffic surge in the cost of intra domain users to access foreign cyber source generated by the intra domain link repeat traffic but also lead to a decline in transmission service. Aiming at this problem, this paper puts forward the content node ISP-CDN two layer deployment mechanism of the deployment mechanism is divided into two layers, the outer layer is deployed in the inter domain entrance to reduce inter domain traffic, inner deployment strategy based on greedy algorithm of network traffic cost for core node selection. And on the basis of this design based on RCBF (Record Counter Bloom Filter) index structure and synchronization mechanisms. In order to improve the content of CDN routing strategy, improve the service performance of the fusion of the CDN.
Second, this paper further studies the problem of management of content data. Due to the location of the content nodes is fixed, how to carry on the stored content management is an important problem in the content distribution. Content management is mainly divided into two aspects: buffer management and content push. This paper proposed replacement strategy based on access interval, improve cache object heat high in the cache space in the life cycle; secondly considering the accessed data are dependent on the user's behavior in the protocol layer for data analysis, the algorithm proposed hotnessevaluation cache object with multi dimensions, to further improve the cache hit rate; finally a hot data value based on the degree of push strategy the content, distribution in the pre effective deployment of nodes, reduce user access latency and improve network performance.
Third, the main face of fusion type CDN user ISP domain, in order to improve service quality, reduce the potential network threats facing CDN, how to combine ISP with topology and user data, establishing the mechanism of trusted domain user is a new problem faced by CDN fusion. This paper proposes classification of trust model of network group based on the combination of user behavior data obtained in the ISP, realize the automation of the customer classification, and the traditional detection method for setting user categories in order to build credibility, credible fusion CDN. the model first use of network interaction topology information to establish the trust matrix between nodes of the network; and then combined with the calculation of similarity between network nodes and direct trust trust degree of the user classification; according to the credibility of different categories of users differentiated services, enhance the credibility of the low price to attack. Reduce the network risk that CDN faces.
Finally, this paper proposes a combination of ISP content distribution system, the system with the traditional CDN system has certain difference: 1, analysis of passive storage and hierarchical deployment; 2, safety warning. The whole system consists of four modules: information collection, cache management, node communication and off-line through the proposed audit. The content in the actual system deployment, management and user classification of specific test, to achieve the goal of this research first.
【學(xué)位授予單位】:哈爾濱工業(yè)大學(xué)
【學(xué)位級(jí)別】:博士
【學(xué)位授予年份】:2014
【分類號(hào)】:TP393.09
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