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融合型內(nèi)容分發(fā)網(wǎng)絡(luò)關(guān)鍵技術(shù)研究

發(fā)布時間:2018-04-01 15:21

  本文選題:覆蓋網(wǎng) 切入點: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)性增長以及用戶對網(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)作為運行于整個互聯(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)量優(yōu)化。隨著云計算、移動互聯(lián)網(wǎng)及動態(tài)網(wǎng)絡(luò)內(nèi)容技術(shù)的推進,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)。本文從運營商角度出發(fā),考慮流量結(jié)算成本、提升數(shù)據(jù)傳輸服務(wù)質(zhì)量以及安全性三個方面對融合型CDN(Content Delivery Networks)進行研究。 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。針對該問題,本文首先提出針對ISP-CDN的內(nèi)容節(jié)點兩層部署機制,該部署機制分為兩層,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)流量代價算法對核心節(jié)點進行選取。并在此基礎(chǔ)上設(shè)計基于RCBF(Record Counter Bloom Filter)的索引結(jié)構(gòu)與同步機制,從而改進CDN的內(nèi)容路由策略,提升融合型CDN的服務(wù)性能。 第二,本文進一步研究內(nèi)容數(shù)據(jù)的管理問題。由于內(nèi)容節(jié)點位置固定后,如何對所存儲內(nèi)容進行管理是內(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)議層對數(shù)據(jù)進行深入分析,提出多維度的緩存對象熱度評價算法,進一步提升緩存命中率;最后提出一種基于價值度的熱點數(shù)據(jù)推送策略,在所部署的節(jié)點間進行有效的內(nèi)容預(yù)分發(fā),降低用戶的訪問延時,,改善網(wǎng)絡(luò)性能。 第三,融合型CDN主要面對ISP域內(nèi)用戶,為了提升服務(wù)質(zhì)量,降低CDN所面對的潛在網(wǎng)絡(luò)威脅,如何結(jié)合ISP所擁有的拓撲和用戶的數(shù)據(jù)優(yōu)勢,建立域內(nèi)用戶的可信機制是融合型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ISP所獲取的用戶行為數(shù)據(jù),實現(xiàn)對用戶的自動化分類,并采用傳統(tǒng)檢測方法設(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)交互拓撲信息建立網(wǎng)絡(luò)節(jié)點間的信任矩陣;進而結(jié)合直接信任度和相關(guān)信任度計算網(wǎng)絡(luò)節(jié)點間的相似度,進行用戶分類;最后根據(jù)可信度對不同類別的用戶進行差異化服務(wù),提升低可信度的攻擊代價,從而降低CDN所面臨的網(wǎng)絡(luò)風(fēng)險。 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、被動解析存儲與層次化部署;2、安全預(yù)警。整個系統(tǒng)主要分為四個模塊:信息采集、緩存管理、節(jié)點通信與離線審計。通過在實際系統(tǒng)中對本文提出的內(nèi)容部署、管理及用戶分類進行具體測試,實現(xiàn)了本文最初的研究目標。
[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)位級別】:博士
【學(xué)位授予年份】:2014
【分類號】:TP393.09

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