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基于網(wǎng)絡(luò)編碼的P2P數(shù)據(jù)分發(fā)方案研究

發(fā)布時間:2018-09-17 16:46
【摘要】:現(xiàn)有的網(wǎng)絡(luò)編碼與P2P技術(shù)結(jié)合的數(shù)據(jù)分發(fā)方案對網(wǎng)絡(luò)性能有所限制,若信源節(jié)點以網(wǎng)絡(luò)的組播容量來確定數(shù)據(jù)的發(fā)送速率將會導(dǎo)致大量鏈路空閑浪費網(wǎng)絡(luò)資源,然而源節(jié)點的發(fā)送速率過大又會使小流量節(jié)點無法獲得足夠解碼的數(shù)據(jù)塊,降低網(wǎng)絡(luò)分發(fā)數(shù)據(jù)的成功率。針對以上問題,本文提出一種基于負(fù)反饋機(jī)制的重復(fù)網(wǎng)絡(luò)編碼數(shù)據(jù)分發(fā)方案。該數(shù)據(jù)傳輸方案主要涉及兩個技術(shù)關(guān)鍵點:重復(fù)網(wǎng)絡(luò)編碼的具體方案以及建立負(fù)反饋模型對全網(wǎng)節(jié)點的編碼次數(shù)進(jìn)行調(diào)節(jié)。重復(fù)網(wǎng)絡(luò)編碼是對傳統(tǒng)單次網(wǎng)絡(luò)編碼進(jìn)行優(yōu)化,根據(jù)網(wǎng)絡(luò)具體性能在編碼過程中生成多個線性無關(guān)數(shù)據(jù)塊以增加下游網(wǎng)絡(luò)可用數(shù)據(jù)量,使下游小流量宿點能收到足夠解碼的線性無關(guān)數(shù)據(jù)塊,成功解碼,提高數(shù)據(jù)分發(fā)成功率。負(fù)反饋模型以數(shù)據(jù)分發(fā)率為調(diào)節(jié)因子,調(diào)節(jié)網(wǎng)絡(luò)中編碼節(jié)點的編碼次數(shù),當(dāng)數(shù)據(jù)分發(fā)率低于理想值時,超級節(jié)點選擇部分編碼節(jié)點增加其編碼次數(shù)以提高數(shù)據(jù)分發(fā)率,當(dāng)數(shù)據(jù)分發(fā)率高于理想值時,超級節(jié)點選擇部分編碼節(jié)點降低其編碼次數(shù)以減小因過度編碼造成的延遲,使網(wǎng)絡(luò)在保持理想數(shù)據(jù)分發(fā)率的同時保持較低的傳輸延遲和編解碼開銷。本文采用NS-2模擬器仿真網(wǎng)絡(luò)環(huán)境,通過模擬網(wǎng)絡(luò)中數(shù)據(jù)傳輸過程驗證該方案的有效性,通過與存儲轉(zhuǎn)發(fā)和其他網(wǎng)絡(luò)編碼方案的對比分析該方案的整體性能及優(yōu)勢,從實驗的角度對重復(fù)編碼方案的可行性進(jìn)行驗證。
[Abstract]:The existing data distribution scheme combining network coding with P2P technology limits the performance of the network. If the source node determines the data transmission rate by the multicast capacity of the network, it will lead to a large number of idle links wasting network resources. However, if the transmission rate of the source node is too large, the small traffic node will not get enough decoded data blocks, which will reduce the success rate of data distribution in the network. In order to solve the above problems, this paper proposes a data distribution scheme for repetitive network coding based on negative feedback mechanism. The data transmission scheme mainly involves two key points: the specific scheme of repetitive network coding and the establishment of a negative feedback model to adjust the coding times of the whole network node. Repetitive network coding is to optimize the traditional single network coding. According to the network performance, multiple linear independent data blocks are generated in the coding process to increase the amount of data available in the downstream network. It can receive enough decoded linear independent data blocks and improve the success rate of data distribution. The negative feedback model takes the data distribution rate as the adjustment factor and adjusts the coding times of the coding nodes in the network. When the data distribution rate is lower than the ideal value, the super node selects some coding nodes to increase the coding times to improve the data distribution rate. When the data distribution rate is higher than the ideal value, the super node selects part of the encoding node to reduce the coding times to reduce the delay caused by over-coding. It makes the network keep low transmission delay and codec overhead while keeping the ideal data distribution rate. In this paper, the NS-2 simulator is used to simulate the network environment, and the validity of the scheme is verified by simulating the data transmission process in the network. The overall performance and advantages of the scheme are analyzed by comparing with the storage, forwarding and other network coding schemes. The feasibility of the repetitive coding scheme is verified from the point of view of experiment.
【學(xué)位授予單位】:哈爾濱工程大學(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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