本文選題：點(diǎn)播云 + Go��； 參考：《南京大學(xué)》2017年碩士論文

【摘要】：隨著互聯(lián)網(wǎng)的大力發(fā)展,云服務(wù)逐漸普及起來。點(diǎn)播云是云計(jì)算在視頻上的嘗試,其背后蘊(yùn)含了復(fù)雜的技術(shù),包括上傳下載,轉(zhuǎn)碼,域名分發(fā),廣告,加密防盜鏈等。點(diǎn)播云服務(wù)為中小型創(chuàng)業(yè)公司提供快速接入的開發(fā)工具,方便快速二次開發(fā)一個(gè)視頻點(diǎn)播平臺(tái)而不依賴于傳統(tǒng)的大視頻點(diǎn)播平臺(tái),能為用戶提供便捷的視頻服務(wù)。本文針對(duì)點(diǎn)播云業(yè)務(wù)場(chǎng)景,設(shè)計(jì)并實(shí)現(xiàn)了七牛云點(diǎn)播云平臺(tái)的內(nèi)部消息處理模塊,以下簡(jiǎn)稱Fetcher。本模塊主要服務(wù)于點(diǎn)播云內(nèi)部,針對(duì)用戶上傳視頻文件后產(chǎn)生的消息數(shù)據(jù)進(jìn)行處理操作。模塊采用Go語(yǔ)言編寫,同時(shí)使用了分布式消息隊(duì)列Kafka和非關(guān)系型數(shù)據(jù)庫(kù)MongoDB。本文主要闡述Fetcher模塊及其高可用的設(shè)計(jì)與實(shí)現(xiàn)。本文首先介紹了點(diǎn)播云項(xiàng)目的背景和項(xiàng)目意義,描述了本系統(tǒng)使用的相關(guān)技術(shù),包括Go語(yǔ)言技術(shù)棧,MongoDB,mgo框架,Heartbeat等。然后針對(duì)點(diǎn)播云的業(yè)務(wù)邏輯進(jìn)行Fetcher的需求分析,對(duì)系統(tǒng)進(jìn)行模塊劃分,介紹系統(tǒng)的整體架構(gòu),設(shè)計(jì)了數(shù)據(jù)庫(kù)表,對(duì)各個(gè)模塊的功能和業(yè)務(wù)流程進(jìn)行了詳細(xì)分析和設(shè)計(jì),并設(shè)計(jì)和實(shí)現(xiàn)了 Fetcher模塊的高可用。最后,本文用偽代碼對(duì)模塊進(jìn)行描述,闡述了 Fetcher內(nèi)部模塊的具體實(shí)現(xiàn)過程,展示了部分模塊的運(yùn)行圖。基于這些實(shí)現(xiàn),能穩(wěn)定支撐點(diǎn)播云的業(yè)務(wù)平臺(tái)。目前有大量客戶在使用七牛點(diǎn)播云。
[Abstract]:With the vigorous development of the Internet, cloud services are gradually popularizing. VOD cloud is an attempt of cloud computing in video, which contains complex technologies, such as uploading and downloading, transcoding, domain name distribution, advertising, encryption chain and so on. VOD cloud service provides a rapid access development tool for small and medium-sized startups. It is convenient to develop a video-on-demand platform quickly and twice without relying on the traditional VOD platform. It can provide users with convenient video services. In this paper, we design and implement the internal message processing module of QiNiuyun on demand cloud platform, which is referred to as Fetcher. This module is mainly used in the on-demand cloud to handle the message data generated after the user uploads the video file. The module is written in go language, using distributed message queue Kafka and non-relational database MongoDB. This paper mainly describes the design and implementation of Fetcher module and its high availability. This paper first introduces the background and significance of the on-demand cloud project, and describes the related technologies used in this system, including the go language technology stack, MongoDB / Mgo framework and Heartbeat, etc. Then the Fetcher requirement analysis is carried out for the business logic of the on-demand cloud, the system is divided into modules, the overall structure of the system is introduced, the database table is designed, and the functions and business processes of each module are analyzed and designed in detail. The high availability of Fetcher module is designed and implemented. Finally, this paper describes the module with pseudo code, describes the implementation process of Fetcher internal module, and shows the operation diagram of some modules. Based on these implementations, can support the cloud on demand business platform. At present, there are a large number of customers in the use of seven cattle on demand cloud.
【學(xué)位授予單位】：南京大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP393.09
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本文編號(hào)：2073729