【摘要】：P2P技術(shù)已經(jīng)出現(xiàn)多年，但P2P技術(shù)從出現(xiàn)至今一直受到各種版權(quán)機(jī)構(gòu)、網(wǎng)絡(luò)服務(wù)提供商的打壓，其原因就在于該技術(shù)能夠讓所有接入用戶共享數(shù)據(jù)。而用戶共享的數(shù)據(jù)很多都是沒有授權(quán)不得傳播的，而且各個P2P節(jié)點(diǎn)在傳輸和下載數(shù)據(jù)的時候會產(chǎn)生很多大流量，網(wǎng)絡(luò)中大量的P2P流量會占用網(wǎng)絡(luò)帶寬導(dǎo)致網(wǎng)絡(luò)擁塞，這無疑給網(wǎng)絡(luò)服務(wù)運(yùn)營商帶來了麻煩。正是由于這些原因，P2P從出現(xiàn)至今一直被排擠打壓。云計算是近幾年新出現(xiàn)的一種技術(shù)，該技術(shù)從一出現(xiàn)就得到了廣泛的關(guān)注，各個國家和世界知名IT公司也都投入了大量的人力物力對其進(jìn)行研究和發(fā)展。由于云計算技術(shù)要依賴良好的網(wǎng)絡(luò)才能運(yùn)作，所以近幾年為了促進(jìn)云計算順利發(fā)展各大公司和網(wǎng)絡(luò)運(yùn)營商都在積極改善網(wǎng)絡(luò)環(huán)境。而網(wǎng)絡(luò)也正是限制P2P發(fā)展的主要原因之一，所以云計算的發(fā)展在無形中促進(jìn)了P2P的發(fā)展，近年來基于P2P技術(shù)的視頻語音軟件層出不窮，無論是P2P的文件共享還是P2P技術(shù)的實時通信都會產(chǎn)生巨大的網(wǎng)絡(luò)流量，為了對P2P流量進(jìn)行監(jiān)控，P2P流量識別就成了亟待解決的問題。目前已經(jīng)有了許多的P2P識別技術(shù)，但是面對著與日俱增的P2P流量，，無論是識別技術(shù)本身還是承載這些技術(shù)的硬件設(shè)備都開始顯示出能力不足的問題。 針對上述問題，本文研究了一種將單一設(shè)備上的P2P識別移植到云中的系統(tǒng)，該系統(tǒng)利用云的分步并行計算的特點(diǎn)將P2P流量識別分片細(xì)化，而且云計算本身的超強(qiáng)計算能力也要遠(yuǎn)遠(yuǎn)高于單一硬件設(shè)備，這使得現(xiàn)有的P2P識別技術(shù)能夠輕松識別與日俱增的P2P流量成為可能。本文在第四章詳細(xì)介紹了系統(tǒng)的組織架構(gòu)，并用數(shù)學(xué)分析的方法推導(dǎo)出了本系統(tǒng)確實在識別效率方面有了明顯的提升。
[Abstract]:P2P technology has been developed for many years, but since its emergence, P2P technology has been suppressed by various copyright agencies and network service providers. The reason is that the technology enables all access users to share data. Many of the data shared by users are not allowed to propagate without authorization, and many P2P nodes will generate a lot of traffic when they transmit and download data. A large amount of P2P traffic in the network will occupy the network bandwidth and lead to network congestion. This undoubtedly brings trouble to network service operator. It is for these reasons that P2P has been squeezed and suppressed since its emergence. Cloud computing is a new technology in recent years, which has been widely concerned since its emergence. IT companies in various countries and the world have also invested a lot of manpower and material resources to research and develop it. Cloud computing technology depends on good network to operate, so in recent years, in order to promote the smooth development of cloud computing, companies and network operators are actively improving the network environment. Network is one of the main reasons for restricting P2P development, so the development of cloud computing has promoted the development of P2P. In recent years, video and voice software based on P2P technology has emerged in endlessly. In order to monitor P2P traffic, P2P traffic identification becomes an urgent problem, both in P2P file sharing and P2P real-time communication. At present, there are many P2P identification technologies, but in the face of increasing P2P traffic, both the identification technology itself and the hardware equipment carrying these technologies are beginning to show the problem of insufficient capacity. In order to solve the above problems, this paper studies a system of transplanting P2P identification on a single device to cloud. The system makes use of the characteristics of two-step parallel computing of cloud to divide P2P traffic identification into pieces. Moreover, cloud computing itself has much higher computing power than a single hardware device, which makes it possible for the existing P2P identification technology to easily identify the increasing P2P traffic. In the fourth chapter, the organizational structure of the system is introduced in detail, and it is deduced by mathematical analysis that the recognition efficiency of the system has been improved obviously.
【學(xué)位授予單位】：江西理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TP393.02

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