博碩士論文 100523051 詳細資訊




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姓名 何元馨(Yuan-hsing Ho)  查詢紙本館藏   畢業系所 通訊工程學系
論文名稱
(Multicast of Video Streaming on Cloud)
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摘要(中) 隨著雲端運算的發展,數據中心被廣泛的使用,而在多服務群播的環境之下,若一個客戶端同時對多個伺服器提出請求和要求,傳輸過程中因為TCP其重傳機制與特性容易造成網路傳輸的崩潰,這就是所謂的TCP Incast。
本文主要探討在雲端環境中,多人接收即時影像的效能問題。在傳輸方面使用數據噴泉(Digital Fountain)的概念,以UDP的方式取代TCP傳送,用LT-code確保資料的傳輸性,影像則使用可適性視訊編碼(Scalable Video Coding,SVC)的方式作為編碼,將影像分為基礎層與增強層以提供客戶端不同的服務品質,而在雲端多服務群播的環境下,針對即時影像每張frame具有時效的特性,設計了以數據噴泉為基礎的可適性視訊編碼群播方法,改善網路效能同時提供客戶端更好的服務品質。最後使用階層式網路設計實驗,以便比較方法在遇到不同環境的優劣。
經由實驗結果得知,直接放棄網路狀況不好的客戶端可以有效地提升整體網路效能與服務品質,只有在所有客戶端的能力相同情況下,才可以考慮保證所有客戶基本服務品質。
摘要(英) Date center network (DCN) is widely used with the development of cloud computing technology in recent years. In the multi-service environment, the client calls for service from multiple servers at the same time. Because of the retransmission mechanism of TCP, the transmission of network may be easily collapsed, which is called TCP incast.
In this thesis, the performance of real-time video among multiple receivers is studied based on the cloud computing environment. In the aspect of transmission, the concept of digital fountain is adopted, and UDP is used instead of TCP as the transport protocol. And LT-Code is applied to achieve reliable data transmission. In addition, employing scalable video coding (SVC), video is divided into the base layer and the enhancement layer to provide different kinds of quality of service (QoS). Aiming at the real time characteristic of each frame in video, we propose a multicast SVC method based on the digital fountain in cloud. The proposed method could improve the network performance and provide better QoS for clients. Finally, we design and implement an experiment using hierarchical network in order to compare the different performances in different environments by using the method.
From the experimental results in this thesis, it shows that the system network performance and cilents’ QoS can be improved efficiently when giving up the clients with poor network condition if receivers have different link capacities. On the other hand, when receivers have the same link capacity, all the clients’ basic QoS could be guaranteed.
關鍵字(中) ★ TCP incast
★ 雲端
★ 群播
★ 影像串流
★ 數據中心
關鍵字(英) ★ TCP incast
★ cloud
★ multicast
★ video streaming
★ data center network
論文目次 摘要...................................................i
Abstract..............................................ii
誌謝...................................................iii
目錄...................................................iv
圖目錄..................................................vi
表目錄..................................................ix
一、緒論.................................................1
1-1 前言................................................1
1-2 研究動機.............................................2
1-3 論文架構.............................................3
二、相關研究背景...........................................4
2-1 Cloud Multicast.....................................4
2-2 Cloud Video.........................................4
2-3 可適性視訊編碼(Scalable Video Coding)..................5
2-4 TCP Incast...........................................7
2-5 過往解決TCP Incast的方式介紹............................8
2-6 Luby Transform Code (LT-Code).......................10
三、以數位噴泉為基礎之SCV群播方法............................13
3-1 系統架構介紹..........................................13
3-2 DFMSC...............................................14
四、模擬環境與結果分析......................................22
4-1 模擬環境介紹..........................................22
4-2 模擬結果分析..........................................26
4-2-1 多伺服器對單一客戶端..................................26
4-2-2 單層網路下傳送即時影像................................27
4-2-3 階層式網路下傳送即時影像效能比較........................34
五、結論..................................................46
參考文獻..................................................47
參考文獻 [1]Changlin Jiang, Dan Li, Mingwei Xu, and Kai Zheng. “A Coding-based Approach to Mitigate TCP Incast in Data Center Networks,” In Proc. of IEEE ICDCSW, June 2012, pp. 29-34.
[2]H. Schwarz, D. Marpe, and T. Wiegand, “Overview of the Scalable Video Coding Extension of the H.264/AVC Standard,” In Proc. of Circuits and Systems for Video Technology, IEEE Transactions on, Vol. 17, No. 9, Sept. 2007, pp. 1103-1120,
[3]Kuen-Min Lee, Wei-Guang Teng, Jin-Neng Wu, Kuo-Ming Huang, Yao-Hsing Ko, and Ting-Wei Hou1, “Multicast Deployment of Cloud Operating Systems,” In Proc. of Computer and Information Technology (CIT), 2012 IEEE 12th International Conference on, Oct. 2012, pp.163-168.
[4]Tatsuhiro Chiba, Mathijs den Burger, Thilo Kielmann, and Satoshi Matsuoka, “Dynamic Load-Balanced Multicast for Data-Intensive Applications on Clouds,” In Proc. of Cluster, Cloud and Grid Computing (CCGrid), 2010 10th IEEE/ACM International Conference on, May 2012, pp. 5-14.
[5]Vaneet Aggarwal, Xu Chen, Vijay Gopalakrishnan, Rittwik Jana, K. K. Ramakrishnan, Vinay A. Vaishampayan,” Exploiting virtualization for delivering cloud-based IPTV services,” In Proc. of Computer Communications Workshops (INFOCOM WKSHPS), 2011 IEEE Conference on, April 2011, pp.637-641.123.
[6]François, E. , Vieron, J. and Bottreau, V. , “Interlaced Coding in SVC, ” In Proc. of Circuits and Systems for Video Technology, IEEE Transactions on, Sept. 2007, pp.113-1148.
[7]A. Phanishayee, E. Krevat, V. Vasudevan, D. G. Andersen, G. R. Ganger, G. A. Gibson, and S. Seshan, “Measurement and Analysis of TCP Throughput Collapse in Cluster-based Storage Systems, ” In Proc. of FAST, 2008.
[8]D. Nagle, D. Serenyi, and A. Matthews, “The Panasas ActiveScale Storage Cluster: Delivering Scalable High Bandwidth Storage,” In Proc. of the 2004 ACMREEE conference on Supercomputing, 2004, pp. 53-62.
[9]Yan Zhang, and Nirwan Ansa, “On mitigating TCP Incast in Data Center Networks,” In Proc. of IEEE INFOCOM, April 2011, pp.51-55.
[10]Mohammad Alizadeh, Albert Greenberg, David A. Maltz, Jitu Padhye, Parveen Patel, Balaji Prabhakar, Sudipta Sengupta, and Murari Sridharan, “DCTCP: Efficient Packet Transport for the Commoditized Data Center,” In Proc. of ACM SIGCOM, 2010.
[11]朱慶翔, 吳曉光, “Jitter-based TCP for Incast Communication on Data Center Network, ” NCU, June 2012.
[12]Peng Zhang, Hongbo Wang, and Shiduan Cheng, “Shrinking MTU to Mitigate TCP Incast Throughput Collapse in Data Center Networks,” In Proc. of Communications and Mobile Computing (CMC), 2011 Third International Conference on, April 2011,pp.126-129.
[13]Hongyun Zheng, and Chunming Qiao, “An Effective Approach to Preventing TCP Incast Throughput Collapse for Data Center Networks,” In Proc. of IEEE GLOBECOM, Dec. 2011, pp.1-6.
[14]Haitao Wu, Zhenqian Feng, Chuanxiong Guo, and Yongguang Zhang, “ICTCP: Incast Congestion Control for TCP in Data-Center Networks,” In Proc. of IEEE/ACM Transactions on Networking, Volume 12, Issue 2, April 2012, pp.345-358.
[15]Changlin Jiang, Dan Li, Mingwei Xu, and Kai Zheng. “A Coding-based Approach to Mitigate TCP Incast in Data Center Networks,” In Proc. of IEEE ICDCSW, June 2012, pp. 29-34.
[16]J. W. Byers, M. Luby, M. Mitzenmacher, and A. Rege, “A Digital Fountain Approach to Reliable Distribution of Bulk Data,” In Proc. of ACM SIGCOMM 1998 Conf. on Applications, technologies, architectures, and protocols for computer communication, Vancouver, Canada, 2009, pp.303-314.
[17]M. Luby, “ LT Codes,” In Proc. of the 43rd Symposium on Foundations of Computer Science, Vancouver, Canada, 2002, p. 271.
[18]D. J. MacKay, “ Information Theory, Inference, and Learning Algorithms, ” Cambridge University Press, 2003.
指導教授 陳彥文 審核日期 2014-3-26
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