隨著網路的普及與頻寬的增加，愈來愈多人透過網路串流欣賞電影。當網站的規模愈大，所需承受之負載量亦隨之增加，因此，如何有效率地處理使用者查詢結果、減少網路延遲時間與封包遺失風險以及提高資料可靠度皆為重要的議題。本論文利用雲端環境架構解決上述問題，並基於雲端環境設計並實作一串流系統，讓使用者可以透過瀏覽器輸入字串來搜尋電影，並且透過網路串流線上觀賞電影。

With the popularity of the Internet and the wider bandwidth, more and more people watch streaming movies online. The larger the scale of the web site, the more load it has to handle. Thus, how to efficiently process users' queries, reduce network latency and packet loss, and improve data reliability at once are top issues. Cloud environments, in this thesis, are used to solve these problems. Also, a cloud-based streaming system that enables users query movie information and watch movies streaming online is designed and implemented to deliver compelling user experiences.

致謝 ....................................................................................................... iii
摘要 ....................................................................................................... iv
ABSTRACT ................................................................................................... v
目錄 ....................................................................................................... vi
表目錄 ..................................................................................................... viii
圖目錄 ..................................................................................................... ix
1. 緒論 ..................................................................................................... 1
1.1. 研究背景 ....................................................................................... 1
1.2. 研究動機及目的 ................................................................................. 1
1.3. 論文架構 ....................................................................................... 2
2. 背景研究 ................................................................................................. 3
2.1. 多媒體網路應用 ................................................................................. 3
2.2. 網路串流的技術 ................................................................................. 4
2.2.1. 串流媒體播放方式 ..................................................................... 4
2.2.2. 串流系統網路傳輸協定 ................................................................. 5
2.3. 雲端運算系統介紹 ............................................................................... 6
2.4. HDFS Hadoop Distributed File System ............................................................ 8
2.5. HBase .......................................................................................... 9
2.5.1. Key-Value 儲存體 ..................................................................... 9
2.5.2. HBase 架構介紹 ....................................................................... 11
2.6. MapReduce....................................................................................... 13
3. 雲端串流系統之設計與實作 ................................................................................. 15
3.1. 使用案例 ....................................................................................... 15
3.2. 雲端串流系統架構 ............................................................................... 16
3.3. 資料庫架構設計 ................................................................................. 18
3.4. 系統資料表搜尋方式 ............................................................................. 20
3.5. 資料匯入 ....................................................................................... 21
4. 實驗結果與分析 ........................................................................................... 25
4.1. HBase與RDB回應時間比較 ......................................................................... 25
4.2. HBase與RDB占用磁碟空間比較 ..................................................................... 27
5. 結論 ..................................................................................................... 28
參考文獻 .................................................................................................... 29

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[3]Jeffrey Dean , Sanjay Ghemawat, “MapReduce: Simplified Data Processing on Large Clusters”, Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation, p.10-10, December 06-08, 2004, San Francisco, CA
[4]Fay Chang , Jeffrey Dean , Sanjay Ghemawat , Wilson C. Hsieh , Deborah A. Wallach , Mike Burrows , Tushar Chandra , Andrew Fikes , Robert E. Gruber, “Bigtable: A Distributed Storage System for Structured Data”, Proceedings of the 7th symposium on Operating systems design and implementation, November 06-08, 2006, Seattle, Washington
[5]http://hadoop.apache.org/
[6]http://hbase.apache.org/
[7]http://www.runpc.com.tw/content/main_content.aspx?mgo=190&fid=E08
[8]http://www.larsgeorge.com/2009/10/hbase-architecture-101-storage.html
[9]http://hadoop.apache.org/zookeeper/
[10]http://tomcat.apache.org/
[11]http://www.videolan.org/
[12]http://www.ffmpeg.org/
[13]http://www.videolan.org/developers/x264.html
[14]http://www.live555.com
[15]http://www.imdb.com/
[16]http://www.jmdb.de/