本文選題：P2P + 基于P2P的流媒體點播系統(tǒng)�。� 參考：《華中師范大學(xué)》2015年碩士論文

【摘要】：隨著用戶對流媒體需求的提高、用戶數(shù)量的增加,傳統(tǒng)的C/S架構(gòu)模式很容易造成性能瓶頸,影響流媒體技術(shù)的進一步發(fā)展和廣泛應(yīng)用。傳統(tǒng)緩存策略并沒有將用戶的行為考慮在內(nèi),為了更好地支持流媒體點播系統(tǒng),本文在研究緩存策略時更多地從用戶行為特點方面去考慮如何設(shè)計緩存策略,所以在新的緩存管理策略中,本文將用戶的點播行為特點融入到緩存策略中,使得流媒體點播系統(tǒng)中數(shù)據(jù)的緩存更加合理,具體研究工作總結(jié)如下：(1)介紹了P2P的概念和流媒體的基本概念之后,又介紹了影響視頻流暢播放的幾個因素。而由于緩存管理策略的不合理,造成了首啟動播放延遲,網(wǎng)絡(luò)抖動等現(xiàn)象。為了減少用戶觀看視頻節(jié)目時的等待時間,讓系統(tǒng)中的用戶節(jié)點更加穩(wěn)定地存在于系統(tǒng)中,需要設(shè)計可高效利用緩存空間的緩存策略。(2)由于緩存空間中存儲和替換數(shù)據(jù)塊不合理,用戶進行頻繁地操作會更加影響緩存空間的頻繁換進換出,這是因為沒有有效地管理緩存空間。由于流媒體點播系統(tǒng)中用戶的交互能力大大提高,傳統(tǒng)的緩存算法并沒有將這一因素考慮在內(nèi),因此本文在設(shè)計緩存策略時,在之前緩存策略的基礎(chǔ)之上,著重考慮用戶操作行為的特點。(3)用戶在流媒體點播系統(tǒng)中可以進行VCR(快進、快退和暫停等)操作,以及用戶可隨時加入或退出系統(tǒng),這些都是研究用戶行為特點的關(guān)鍵方面。本文在深入分析這些因素的基礎(chǔ)上,提出了數(shù)據(jù)塊的流行度和供求值的概念,基于數(shù)據(jù)塊的流行度和供求值而提出了相應(yīng)的緩存替換策略。(4)由于現(xiàn)實環(huán)境比較復(fù)雜,為了驗證本文所提出的基于用戶行為特征的緩存策略是否合理,本文采用現(xiàn)下比較流行的仿真軟件進行驗證,實驗得出的結(jié)論是基于用戶行為特征的緩存策略整體上是優(yōu)于傳統(tǒng)策略的。
[Abstract]:With the increase of users' demand for media and the increase of the number of users, the traditional C/S architecture model easily causes performance bottlenecks and affects the further development and wide application of streaming media technology. The traditional caching strategy does not take the user's behavior into consideration. In order to better support streaming media on demand system, this paper studies the caching strategy. In the new cache management strategy, this paper integrates the characteristics of the user's on-demand behavior into the caching strategy and makes the data caching more reasonable in the streaming media on demand system. The specific research work is summarized as follows: (1) the concept of P2P and the streaming media are introduced. After the basic concept, it also introduces several factors that affect the flow of video, and because of the irrational caching management strategy, it causes the first start play delay, network jitter and so on. In order to reduce the waiting time for the user to watch the video program, the user nodes in the system are more stable in the system and need to be designed. Caching strategy for efficient use of cache space. (2) because of the unreasonable storage and replacement of data blocks in the cache space, the frequent operation of the user will affect the frequent change of the cache space. This is because the cache space is not managed effectively. Because the user's interaction ability in the streaming media on demand system is greatly improved, the traditional caching can be used. The algorithm does not take this factor into account, so in this paper, in the design of caching strategy, based on the previous caching strategy, the characteristics of user behavior are taken into account. (3) users can perform VCR (fast forward, fast back and pause) in streaming media on demand system, and users can join or exit the system at any time. These are all Research on the key aspects of user behavior characteristics. On the basis of in-depth analysis of these factors, this paper proposes the concept of data block popularity and supply and demand value. Based on the popularity of the data block and the value of supply and demand, the corresponding cache replacement strategy is proposed. (4) because the real environment is more complex, in order to verify the user behavior proposed in this article. The characteristic caching strategy is reasonable. This paper uses the popular simulation software to verify it. The conclusion is that the caching strategy based on user behavior is better than the traditional strategy.
【學(xué)位授予單位】：華中師范大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TN919.8

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本文編號：1936004